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DBMS > Ingres vs. JaguarDB vs. LeanXcale vs. TerarkDB

System Properties Comparison Ingres vs. JaguarDB vs. LeanXcale vs. TerarkDB

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Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonJaguarDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionWell established RDBMSPerformant, highly scalable DBMS for AI and IoT applicationsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.50
Rank#68  Overall
#37  Relational DBMS
Score0.00
Rank#348  Overall
#55  Key-value stores
Score0.24
Rank#280  Overall
#41  Key-value stores
#129  Relational DBMS
Score0.02
Rank#341  Overall
#53  Key-value stores
Websitewww.actian.com/­data-management/­ingres-sql-rdbmswww.datajaguar.comwww.leanxcale.comgithub.com/­Terark/­terarkdb
Technical documentationdocs.actian.com/­ingreswww.datajaguar.com/­support.phpgithub.com/­Terark/­terarkdb/­wiki
DeveloperActian CorporationDataJaguar, Inc.LeanXcaleTerark
Initial release1974 infooriginally developed at University Berkely in early 1970s201520152016
Current release11.0, April 20172.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ infothe server part. Clients available in other languagesC++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.no infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesno
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infothrough Apache Derbyno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
C++ API
Java API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
Java
Scala
C++
Java
Server-side scripts infoStored proceduresyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsno
More information provided by the system vendor
IngresJaguarDBLeanXcaleTerarkDB
Specific characteristicsSQL support, group by, order by, time-series data auto-aggregation
» more
Full ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosIoT data, time series data, geospatial data, AI data. Any type of numerical data.
» more
Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersQuantea, 2PiDay, Synqy, IIVI
» more
banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
15 beta testers
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more
annual fee covering license and support based on number of physical cores
» more

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More resources
IngresJaguarDBLeanXcaleTerarkDB
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