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DBMS > CrateDB vs. Datastax Enterprise vs. IBM Db2 Event Store

System Properties Comparison CrateDB vs. Datastax Enterprise vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Distributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMS
Search engine
Wide column storeEvent Store
Time Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.63
Rank#191  Overall
#93  Relational DBMS
#13  Search engines
Score8.66
Rank#44  Overall
#4  Wide column stores
Score0.23
Rank#252  Overall
#2  Event Stores
#17  Time Series DBMS
Websitecrate.iowww.datastax.com/­products/­datastax-enterprisewww.ibm.biz/­eventstore
Technical documentationcrate.io/­docsdocs.datastax.comwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_1.1.2/­eventstore/­welcome.html
DeveloperCrateDataStaxIBM
Initial release201320112017
Current release6.7, December 20181.1.3
License infoCommercial or Open SourceOpen Sourcecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, Scala
Server operating systemsAll OS with a Java 7 VMLinux
OS X
Linux infoLinux, macOS, Windows for the developer addition
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyes, but no triggers and constraintsSQL-like DML and DDL statements (CQL); Spark SQLyes infothrough the embedded Spark runtime
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
RESTful HTTP API
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
Scala
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter aware, advanced replication for edge computingActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlrights management via user accountsAccess rights for users can be defined per objectUser level access control
More information provided by the system vendor
CrateDBDatastax EnterpriseIBM Db2 Event Store
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
100% continuous availability, real-time, distributed, massive scale data management...
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Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
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Supporting the following application requirements: Contextual: complete data layer...
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Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Applications that must serve contextual information and be always-on, distributed,...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Capital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
Annual subscription
» more

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CrateDBDatastax EnterpriseIBM Db2 Event Store
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