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DBMS > Apache Phoenix vs. Axibase vs. Cassandra vs. IBM Db2 Event Store

System Properties Comparison Apache Phoenix vs. Axibase vs. Cassandra vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAxibase  Xexclude from comparisonCassandra  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDistributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMSTime Series DBMSWide column storeEvent Store
Time Series DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score101.89
Rank#12  Overall
#1  Wide column stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitephoenix.apache.orgaxibase.com/­docs/­atsd/­financecassandra.apache.orgwww.ibm.com/­products/­db2-event-store
Technical documentationphoenix.apache.orgcassandra.apache.org/­doc/­latestwww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software FoundationAxibase CorporationApache Software Foundation infoApache top level project, originally developped by FacebookIBM
Initial release2014201320082017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019155854.1.3, July 20232.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache version 2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaJavaC and C++
Server operating systemsLinux
Unix
Windows
LinuxBSD
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesyes
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.nononono
Secondary indexesyesnorestricted infoonly equality queries, not always the best performing solutionno
SQL infoSupport of SQLyesSQL-like query languageSQL-like SELECT, DML and DDL statements (CQL)yes infothrough the embedded Spark runtime
APIs and other access methodsJDBCJDBC
Proprietary protocol (Network API)
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
PHP
Python
R
Ruby
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsyesnoyes
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PhoenixAxibaseCassandraIBM Db2 Event Store
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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