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DBMS > JaguarDB vs. Sadas Engine vs. SiriDB vs. Sphinx vs. TimescaleDB

System Properties Comparison JaguarDB vs. Sadas Engine vs. SiriDB vs. Sphinx vs. TimescaleDB

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeRelational DBMSTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#354  Overall
#55  Key-value stores
Score0.01
Rank#351  Overall
#146  Relational DBMS
Score0.01
Rank#347  Overall
#34  Time Series DBMS
Score8.01
Rank#56  Overall
#6  Search engines
Score4.38
Rank#81  Overall
#5  Time Series DBMS
Websitewww.datajaguar.comwww.sadasengine.comsiridb.netsphinxsearch.comwww.timescale.com
Technical documentationwww.datajaguar.com/­support.phpwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.siridb.netsphinxsearch.com/­docsdocs.timescale.com
DeveloperDataJaguar, Inc.SADAS s.r.l.Transceptor TechnologySphinx Technologies Inc.Timescale
Initial release20152006201720012017
Current release2.9.4 September 20188.03.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC++CC++C
Server operating systemsLinuxAIX
Linux
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datanonumerics, 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 indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesnoSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Proprietary protocol
HTTP APIProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonononouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesnoneSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infomanaged by 'Learn by Usage'yesno
User concepts infoAccess controlrights management via user accountsAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
JaguarDBSadas EngineSiriDBSphinxTimescaleDB
Specific characteristicsSQL support, group by, order by, time-series data auto-aggregation
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, geospatial data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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More resources
JaguarDBSadas EngineSiriDBSphinxTimescaleDB
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