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DBMS > EsgynDB vs. Hypertable vs. ReductStore vs. SQLite

System Properties Comparison EsgynDB vs. Hypertable vs. ReductStore vs. SQLite

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHypertable  Xexclude from comparisonReductStore  Xexclude from comparisonSQLite  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source BigTable implementation based on distributed file systems such as HadoopDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Widely used embeddable, in-process RDBMS
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitewww.esgyn.cngithub.com/­reductstore
www.reduct.store
www.sqlite.org
Technical documentationwww.reduct.store/­docswww.sqlite.org/­docs.html
DeveloperEsgynHypertable Inc.ReductStore LLCDwayne Richard Hipp
Initial release2015200920232000
Current release0.9.8.11, March 20161.9, March 20243.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoBusiness Source License 1.1Open Source infoPublic Domain
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++, RustC
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Docker
Linux
macOS
Windows
server-less
Data schemeyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesnoyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyesnoyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
JDBC
ODBC
C++ API
Thrift
HTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
PHP
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
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 dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
EsgynDBHypertableReductStoreSQLite
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