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DBMS > Graph Engine vs. IBM Db2 Event Store vs. TempoIQ vs. TerarkDB vs. TigerGraph

System Properties Comparison Graph Engine vs. IBM Db2 Event Store vs. TempoIQ vs. TerarkDB vs. TigerGraph

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDistributed Event Store optimized for Internet of Things use casesScalable analytics DBMS for sensor data, provided as a service (SaaS)A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
Key-value store
Event Store
Time Series DBMS
Time Series DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.graphengine.iowww.ibm.com/­products/­db2-event-storetempoiq.com (offline)github.com/­bytedance/­terarkdbwww.tigergraph.com
Technical documentationwww.graphengine.io/­docs/­manualwww.ibm.com/­docs/­en/­db2-event-storebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.tigergraph.com
DeveloperMicrosoftIBMTempoIQByteDance, originally Terark
Initial release20102017201220162017
Current release2.0
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree developer edition availablecommercialcommercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC and C++C++C++
Server operating systems.NETLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesnono
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenonoSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP APIC++ API
Java API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
F#
Visual Basic
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
JavaScript infoNode.js
Python
Ruby
C++
Java
C++
Java
Server-side scripts infoStored proceduresyesyesnonoyes
Triggersnonoyes infoRealtime Alertsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple authentication-based access controlnoRole-based access control

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More resources
Graph Engine infoformer name: TrinityIBM Db2 Event StoreTempoIQ infoformerly TempoDBTerarkDBTigerGraph
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