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DBMS > EsgynDB vs. SWC-DB vs. TerarkDB vs. TimescaleDB

System Properties Comparison EsgynDB vs. SWC-DB vs. TerarkDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA high performance, scalable Wide Column DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSWide column storeKey-value storeTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.esgyn.cngithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­bytedance/­terarkdbwww.timescale.com
Technical documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.timescale.com
DeveloperEsgynAlex KashirinByteDance, originally TerarkTimescale
Initial release2015202020162017
Current release0.5, April 20212.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3commercial inforestricted open source version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++C++C
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonumerics, 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.nononoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query languagenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol
Thrift
C++ API
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
EsgynDBSWC-DB infoSuper Wide Column DatabaseTerarkDBTimescaleDB
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