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DBMS > EsgynDB vs. Ingres vs. JaguarDB vs. Oracle Berkeley DB vs. PlanetScale

System Properties Comparison EsgynDB vs. Ingres vs. JaguarDB vs. Oracle Berkeley DB vs. PlanetScale

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonIngres  Xexclude from comparisonJaguarDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWell established RDBMSPerformant, highly scalable DBMS for AI and IoT applicationsWidely used in-process key-value storeScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSRelational DBMSKey-value store
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitewww.esgyn.cnwww.actian.com/­databases/­ingreswww.jaguardb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlplanetscale.com
Technical documentationdocs.actian.com/­ingreswww.jaguardb.com/­support.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.htmlplanetscale.com/­docs
DeveloperEsgynActian CorporationDataJaguar, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OraclePlanetScale
Initial release20151974 infooriginally developed at University Berkely in early 1970s201519942020
Current release11.2, May 20223.3 July 202318.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0Open Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaCC++ infothe server part. Clients available in other languagesC, Java, C++ (depending on the Berkeley DB edition)Go
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Docker
Linux
macOS
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infobut tools for importing/exporting data from/to XML-files availablenoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL interfaced based on SQLite is availableyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava Stored Proceduresyesnonoyes infoproprietary syntax
Triggersnoyesnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersIngres ReplicatorMulti-source replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accountsnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
EsgynDBIngresJaguarDBOracle Berkeley DBPlanetScale
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