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DBMS > AntDB vs. BoltDB vs. CrateDB vs. Oracle Berkeley DB

System Properties Comparison AntDB vs. BoltDB vs. CrateDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonBoltDB  Xexclude from comparisonCrateDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleAn embedded key-value store for Go.Distributed Database based on LuceneWidely used in-process key-value store
Primary database modelRelational DBMSKey-value storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#342  Overall
#149  Relational DBMS
Score0.70
Rank#225  Overall
#31  Key-value stores
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlgithub.com/­boltdb/­boltcratedb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationcratedb.com/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAsiaInfo Technologies LimitedCrateOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201320131994
Current release5.8.1, August 202418.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen SourceOpen Source infocommercial license 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 languageGoJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL2016 compliantnoyes, but no triggers and constraints, and PostgreSQL compatibilityyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Supported programming languagesGo.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.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
Server-side scripts infoStored proceduresnouser defined functions (Javascript)no
Triggersyesnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Read-after-write consistency on record level
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnonoyes
User concepts infoAccess controlnorights management via user accountsno

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More resources
AntDBBoltDBCrateDBOracle Berkeley DB
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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