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DBMS > FeatureBase vs. Firebolt vs. RethinkDB vs. TimescaleDB

System Properties Comparison FeatureBase vs. Firebolt vs. RethinkDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFirebolt  Xexclude from comparisonRethinkDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseDBMS for the Web with a mechanism to push updated query results to applications in realtime.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.featurebase.comwww.firebolt.iorethinkdb.comwww.timescale.com
Technical documentationdocs.featurebase.comdocs.firebolt.iorethinkdb.com/­docsdocs.timescale.com
DeveloperMolecula and Pilosa Open Source ContributorsFirebolt Analytics Inc.The Linux Foundation infosince July 2017Timescale
Initial release2017202020092017
Current release2022, May 20222.4.1, August 20202.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C
Server operating systemsLinux
macOS
hostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometrynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL queriesyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
.Net
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
Go
JavaScript (Node.js)
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersnonoClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
FeatureBaseFireboltRethinkDBTimescaleDB
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