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DBMS > Alibaba Cloud Table Store vs. IBM Db2 Event Store vs. Kinetica vs. Titan

System Properties Comparison Alibaba Cloud Table Store vs. IBM Db2 Event Store vs. Kinetica vs. Titan

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKinetica  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessDistributed Event Store optimized for Internet of Things use casesFully vectorized database across both GPUs and CPUsTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelWide column storeEvent Store
Time Series DBMS
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.ibm.com/­products/­db2-event-storewww.kinetica.comgithub.com/­thinkaurelius/­titan
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.ibm.com/­docs/­en/­db2-event-storedocs.kinetica.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAlibabaIBMKineticaAurelius, owned by DataStax
Initial release2016201720122012
Current release2.07.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, C++Java
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceActive-active shard replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardAccess rights for users and roles on table levelUser authentification and security via Rexster Graph Server

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More resources
Alibaba Cloud Table StoreIBM Db2 Event StoreKineticaTitan
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