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DBMS > Apache IoTDB vs. EventStoreDB vs. Firebolt vs. TimesTen

System Properties Comparison Apache IoTDB vs. EventStoreDB vs. Firebolt vs. TimesTen

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebolt  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkIndustrial-strength, open-source database solution built from the ground up for event sourcing.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMSEvent StoreRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgwww.eventstore.comwww.firebolt.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.eventstore.comdocs.firebolt.iodocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperApache Software FoundationEvent Store LimitedFirebolt Analytics Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2018201220201998
Current release1.1.0, April 202321.2, February 2021Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
hostedIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes
APIs and other access methodsJDBC
Native API
.Net
ODBC
RESTful HTTP API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
JavaScript (Node.js)
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesnoPL/SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasdepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standard

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More resources
Apache IoTDBEventStoreDBFireboltTimesTen
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