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DBMS > EventStoreDB vs. TDengine vs. TerarkDB vs. Titan

System Properties Comparison EventStoreDB vs. TDengine vs. TerarkDB vs. Titan

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonTDengine  Xexclude from comparisonTerarkDB  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.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Time Series DBMS and big data platformA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelEvent StoreTime Series DBMSKey-value storeGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.eventstore.comgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­bytedance/­terarkdbgithub.com/­thinkaurelius/­titan
Technical documentationdevelopers.eventstore.comdocs.tdengine.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcgithub.com/­thinkaurelius/­titan/­wiki
DeveloperEvent Store LimitedTDEngine, previously Taos DataByteDance, originally TerarkAurelius, owned by DataStax
Initial release2012201920162012
Current release21.2, February 20213.0, August 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoAGPL V3, also commercial editions availablecommercial inforestricted open source version availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsLinux
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLStandard SQL with extensions for time-series applicationsnono
APIs and other access methodsJDBC
RESTful HTTP API
C++ API
Java API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyes
Triggersyes, via alarm monitoringnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yes
User concepts infoAccess controlyesnoUser authentification and security via Rexster Graph Server
More information provided by the system vendor
EventStoreDBTDengineTerarkDBTitan
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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22 May 2024

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22 May 2024

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8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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More resources
EventStoreDBTDengineTerarkDBTitan
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