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Top 5 Reasons Why DataStax Enterprise is
Game Changing for Architects
June 28, 2016
Robin Schumacher – VP of Products
© DataStax, All Rights Reserved.
The Data Architecture Evolution
3© DataStax, All Rights Reserved.
Performance
Scalability Availability
Security
Agility /
Manageability
Top 5 Challenges of Cloud Applications
Why Legacy Databases Won’t Work
© DataStax, All Rights Reserved.
The Architect’s Database Platform for Cloud Applications
© DataStax, All Rights Reserved.
#1: Performance and Scalability
Scale Up: Most
RDBMS’s and Some
NoSQL
Scale Out: Some
NoSQL, but…
Ask the question: Can you scale out BOTH writes and reads?
© DataStax, All Rights Reserved.
Two Approaches
100,000
Txns/sec
200,000
Txns/sec
400,000
Txns/sec
© DataStax, All Rights Reserved.
Do the Math
End Point Benchmark
DSE Cassandra beat Couchbase, MongoDB and HBase by a wide margin in every test
Available as a whitepaper on DataStax.com
0
50,000
100,000
150,000
200,000
250,000
Operations/sec
Cassandra 2.1 Couchbase 3.0 Hbase 0.94 MongoDB 3.0
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
Operations/sec
Cassandra 2.1 Couchbase 3.0 Hbase 0.94 MongoDB 3.0
Read-Mostly
(90% reads; 10% updates)
Balanced
(50% reads; 50% updates)
© DataStax, All Rights Reserved.
© DataStax, All Rights Reserved. 10
Data Locality =
Consistent Performance
• Six billion writes; 5 billion reads per day on DSE
• 100’s of TB’s of operational data on DSE
• Multi-data center
• One app utilizes a 40TB operational table
© DataStax, All Rights Reserved.
“We started with Postgres on Heroku. However, we hit issues early on because we would, for example, add a
million new users with each new app, and no matter how much we’d tune Postgres, it simply couldn’t scale to
the level we needed. To be honest, it was quite a nightmare.
With our solution, adding a new app can mean adding two million more users in the next hour, and we
realized an RDBMS was simply not going to work for us. We had no way of being able to predict and ensure
the performance we needed.” – RatnamTatavarty, CTO.
© DataStax, All Rights Reserved.
#2: Availability
The Benefits of a Masterless Architecture
Master/Slave
(RDBMS or NoSQL)
Masterless
Single points of failure No single points of failure
Master-slave replication Fully distributed replication
Moderately hard replication management Easy replication management
Multi-geography hard or impossible Multi-geography + cloud easy
Location dependent for writes Location Independent for writes
Failover Active everywhere
High availability Continuous availability
© DataStax, All Rights Reserved.
© DataStax, All Rights Reserved. 15
Active Everywhere =
Continuous Availability
“During Hurricane Sandy, we lost an entire data center. Completely. Lost. It. Our data in Cassandra never went offline.
Then, when that data center came back online, we spent a lot of time manually rebuilding other databases that we use,
shipping drives across country and what not, but for Cassandra, all we did was turn it back on in that data center and
ran a single command, and it brought itself back up to speed with no other manual work.” – Nathan Milford, Outbrain.
© DataStax, All Rights Reserved.
• Multi-cluster replication, hub-and-spoke. Supports sporadic connectivity.
• Allows one-way replication from “edge” cluster to another, centralized hub
cluster.
• Ideal for retail, energy, “edge of the internet of things”, and data sovereignty
use cases.
© DataStax, All Rights Reserved.
New in DSE 5.0 – Advanced Replication
#3: Security
© DataStax, All Rights Reserved.
Enterprise Security Must-Have’s
Standard ID/Password management
Third party security software support
Object permission management
Data auditing (granular)
Encryption (client to server, server to server, data – direct and
indirect)
© DataStax, All Rights Reserved.
“We’re dealing with multiple levels of compliancy, industry standards and auditing with medical
data, so the security in DSE was important to us. ” – John Fitch, VP Innovations, Hart.
© DataStax, All Rights Reserved.
Security Enhancements in DSE 5.0
• Encryption for Cassandra and DSE Search commit logs and index files.
• Role based access control.
• Unified Authentication: Allows multiple security authentication protocols
(e.g. Kerberos, LDAP, Active Directory, internal Cassandra) to be used on the
same database cluster.
© DataStax, All Rights Reserved.
#4: Manageability
Headache and Heartache
© DataStax, All Rights Reserved.
Simplifying Distributed Database Management
• Certified Software: No surprises for production environments.
• DSE Management Services: Transparently handles key maintenance
operations without staff intervention.
• DSE OpsCenter: Web-based distributed database management and
monitoring software.
© DataStax, All Rights Reserved.
“DataStax OpsCenter made it really, really easy for our level 2 support team to get a quick
glance at overall system health and pull in devs as needed to help correct any issues.” –
Target
© DataStax, All Rights Reserved.
Manageability Enhancements in DSE 5.0
• DSE Tiered Storage: Transparently shifts
older, infrequently accessed data from
high performance SSDs to slower more
economically-friendly HDDs based on
your criteria.
• DSE Multi-Instance: Run multiple DSE
instances (database processes) on
individual hosts without the need for a
virtualization or container layer.
© DataStax, All Rights Reserved.
Manageability Enhancements in OpsCenter 6.0
• Lifecycle Manager: Enterprise-class provisioning and change management
for distributed database clusters.
© DataStax, All Rights Reserved.
#5: Agility
The Modular Cloud Application
Time Series Customer Profile Shopping Cart
Personalization Recommendation Fraud Detection
Your Application
Your Database Infrastructure
Workloads
Data Models
Key Value Tabular Document Relational Graph
Transactional Analytical Search
© DataStax, All Rights Reserved.
Multi-Workload and Multi-Model Platform
Transactional Analytical Search
Key-Value Tabular Document Graph
© DataStax, All Rights Reserved.
© DataStax, All Rights Reserved.
Which Data Model Do I use?
• Scale-out graph database for cloud
applications that need to manage complex
and highly connected data.
• Supports graph model natively inside DSE,
engineered specifically for Cassandra.
• Built-in support for real-time search, and
analytic graph queries via tight integration
with DSE.
• Part of DSE’s multi-model platform.
© DataStax, All Rights Reserved.
DSE Graph – Scale Out Power for Graph
• Web-based developer solution.
• Helps developers visually interact with and query DSE Graph databases.
• Will eventually support CQL, DSE Search, and DSE Analytics developer
needs.
Introducing DataStax Studio
© DataStax, All Rights Reserved.
A Completely Integrated Solution for Graph
35
Java Python C++ More…
© DataStax, All Rights Reserved.
Server Visual Management / Monitoring
Visual Development Integrated Drivers (CQL, Gremlin, etc.)
Accenture Asgard uses DSE Graph to detect and help prevent cyber security attacks.
© DataStax, All Rights Reserved.
Final Thoughts
38© DataStax, All Rights Reserved.
Performance
Scalability Availability
Security
Agility /
Manageability
Top 5 Challenges of Cloud Applications
© DataStax, All Rights Reserved.
Handled by DataStax Enterprise
© DataStax, All Rights Reserved.© DataStax, All Rights Reserved.
Before we go…a few reminders
• Download DSE 5.0, available today!
• Register for the July 19th webinar on
“DSE 5.0: What’s New and How It’ll Make Your Life Easier”
• Join us at Cassandra Summit (Sept 7-9)!
Insider Tip: Get 15% off using promo code Webinar15
© DataStax, All Rights Reserved.
Q & A
42© DataStax, All Rights Reserved.
Thank You!

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Webinar: Top 5 Reasons Why DataStax Enterprise Is Game Changing For Architects

  • 1. Top 5 Reasons Why DataStax Enterprise is Game Changing for Architects June 28, 2016 Robin Schumacher – VP of Products
  • 2. © DataStax, All Rights Reserved. The Data Architecture Evolution
  • 3. 3© DataStax, All Rights Reserved. Performance Scalability Availability Security Agility / Manageability Top 5 Challenges of Cloud Applications
  • 4. Why Legacy Databases Won’t Work © DataStax, All Rights Reserved.
  • 5. The Architect’s Database Platform for Cloud Applications © DataStax, All Rights Reserved.
  • 6. #1: Performance and Scalability
  • 7. Scale Up: Most RDBMS’s and Some NoSQL Scale Out: Some NoSQL, but… Ask the question: Can you scale out BOTH writes and reads? © DataStax, All Rights Reserved. Two Approaches
  • 9. End Point Benchmark DSE Cassandra beat Couchbase, MongoDB and HBase by a wide margin in every test Available as a whitepaper on DataStax.com 0 50,000 100,000 150,000 200,000 250,000 Operations/sec Cassandra 2.1 Couchbase 3.0 Hbase 0.94 MongoDB 3.0 0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 Operations/sec Cassandra 2.1 Couchbase 3.0 Hbase 0.94 MongoDB 3.0 Read-Mostly (90% reads; 10% updates) Balanced (50% reads; 50% updates) © DataStax, All Rights Reserved.
  • 10. © DataStax, All Rights Reserved. 10 Data Locality = Consistent Performance
  • 11. • Six billion writes; 5 billion reads per day on DSE • 100’s of TB’s of operational data on DSE • Multi-data center • One app utilizes a 40TB operational table © DataStax, All Rights Reserved.
  • 12. “We started with Postgres on Heroku. However, we hit issues early on because we would, for example, add a million new users with each new app, and no matter how much we’d tune Postgres, it simply couldn’t scale to the level we needed. To be honest, it was quite a nightmare. With our solution, adding a new app can mean adding two million more users in the next hour, and we realized an RDBMS was simply not going to work for us. We had no way of being able to predict and ensure the performance we needed.” – RatnamTatavarty, CTO. © DataStax, All Rights Reserved.
  • 14. The Benefits of a Masterless Architecture Master/Slave (RDBMS or NoSQL) Masterless Single points of failure No single points of failure Master-slave replication Fully distributed replication Moderately hard replication management Easy replication management Multi-geography hard or impossible Multi-geography + cloud easy Location dependent for writes Location Independent for writes Failover Active everywhere High availability Continuous availability © DataStax, All Rights Reserved.
  • 15. © DataStax, All Rights Reserved. 15 Active Everywhere = Continuous Availability
  • 16. “During Hurricane Sandy, we lost an entire data center. Completely. Lost. It. Our data in Cassandra never went offline. Then, when that data center came back online, we spent a lot of time manually rebuilding other databases that we use, shipping drives across country and what not, but for Cassandra, all we did was turn it back on in that data center and ran a single command, and it brought itself back up to speed with no other manual work.” – Nathan Milford, Outbrain. © DataStax, All Rights Reserved.
  • 17. • Multi-cluster replication, hub-and-spoke. Supports sporadic connectivity. • Allows one-way replication from “edge” cluster to another, centralized hub cluster. • Ideal for retail, energy, “edge of the internet of things”, and data sovereignty use cases. © DataStax, All Rights Reserved. New in DSE 5.0 – Advanced Replication
  • 19. © DataStax, All Rights Reserved.
  • 20. Enterprise Security Must-Have’s Standard ID/Password management Third party security software support Object permission management Data auditing (granular) Encryption (client to server, server to server, data – direct and indirect) © DataStax, All Rights Reserved.
  • 21. “We’re dealing with multiple levels of compliancy, industry standards and auditing with medical data, so the security in DSE was important to us. ” – John Fitch, VP Innovations, Hart. © DataStax, All Rights Reserved.
  • 22. Security Enhancements in DSE 5.0 • Encryption for Cassandra and DSE Search commit logs and index files. • Role based access control. • Unified Authentication: Allows multiple security authentication protocols (e.g. Kerberos, LDAP, Active Directory, internal Cassandra) to be used on the same database cluster. © DataStax, All Rights Reserved.
  • 24. Headache and Heartache © DataStax, All Rights Reserved.
  • 25. Simplifying Distributed Database Management • Certified Software: No surprises for production environments. • DSE Management Services: Transparently handles key maintenance operations without staff intervention. • DSE OpsCenter: Web-based distributed database management and monitoring software. © DataStax, All Rights Reserved.
  • 26. “DataStax OpsCenter made it really, really easy for our level 2 support team to get a quick glance at overall system health and pull in devs as needed to help correct any issues.” – Target © DataStax, All Rights Reserved.
  • 27. Manageability Enhancements in DSE 5.0 • DSE Tiered Storage: Transparently shifts older, infrequently accessed data from high performance SSDs to slower more economically-friendly HDDs based on your criteria. • DSE Multi-Instance: Run multiple DSE instances (database processes) on individual hosts without the need for a virtualization or container layer. © DataStax, All Rights Reserved.
  • 28. Manageability Enhancements in OpsCenter 6.0 • Lifecycle Manager: Enterprise-class provisioning and change management for distributed database clusters. © DataStax, All Rights Reserved.
  • 30. The Modular Cloud Application Time Series Customer Profile Shopping Cart Personalization Recommendation Fraud Detection Your Application Your Database Infrastructure Workloads Data Models Key Value Tabular Document Relational Graph Transactional Analytical Search © DataStax, All Rights Reserved.
  • 31. Multi-Workload and Multi-Model Platform Transactional Analytical Search Key-Value Tabular Document Graph © DataStax, All Rights Reserved.
  • 32. © DataStax, All Rights Reserved. Which Data Model Do I use?
  • 33. • Scale-out graph database for cloud applications that need to manage complex and highly connected data. • Supports graph model natively inside DSE, engineered specifically for Cassandra. • Built-in support for real-time search, and analytic graph queries via tight integration with DSE. • Part of DSE’s multi-model platform. © DataStax, All Rights Reserved. DSE Graph – Scale Out Power for Graph
  • 34. • Web-based developer solution. • Helps developers visually interact with and query DSE Graph databases. • Will eventually support CQL, DSE Search, and DSE Analytics developer needs. Introducing DataStax Studio © DataStax, All Rights Reserved.
  • 35. A Completely Integrated Solution for Graph 35 Java Python C++ More… © DataStax, All Rights Reserved. Server Visual Management / Monitoring Visual Development Integrated Drivers (CQL, Gremlin, etc.)
  • 36. Accenture Asgard uses DSE Graph to detect and help prevent cyber security attacks. © DataStax, All Rights Reserved.
  • 38. 38© DataStax, All Rights Reserved. Performance Scalability Availability Security Agility / Manageability Top 5 Challenges of Cloud Applications
  • 39. © DataStax, All Rights Reserved. Handled by DataStax Enterprise
  • 40. © DataStax, All Rights Reserved.© DataStax, All Rights Reserved.
  • 41. Before we go…a few reminders • Download DSE 5.0, available today! • Register for the July 19th webinar on “DSE 5.0: What’s New and How It’ll Make Your Life Easier” • Join us at Cassandra Summit (Sept 7-9)! Insider Tip: Get 15% off using promo code Webinar15 © DataStax, All Rights Reserved.
  • 42. Q & A 42© DataStax, All Rights Reserved.