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DBMS > CrateDB vs. Datastax Enterprise vs. JSqlDb vs. Oracle Berkeley DB vs. Tkrzw

System Properties Comparison CrateDB vs. Datastax Enterprise vs. JSqlDb vs. Oracle Berkeley DB vs. Tkrzw

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonJSqlDb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionDistributed Database based on LuceneDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.JavaScript Query Language Database, stores JavaScript objects and primitivesWidely used in-process key-value storeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Wide column storeDocument store
Object oriented DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#229  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score6.31
Rank#57  Overall
#4  Wide column stores
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitecratedb.comwww.datastax.com/­products/­datastax-enterprisejsqldb.org (offline)www.oracle.com/­database/­technologies/­related/­berkeleydb.htmldbmx.net/­tkrzw
Technical documentationcratedb.com/­docsdocs.datastax.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCrateDataStaxKonrad von BackstromOracle infooriginally developed by Sleepycat, which was acquired by OracleMikio Hirabayashi
Initial release20132011201819942020
Current release6.8, April 20200.8, December 201818.1.40, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen SourcecommercialOpen SourceOpen Source infocommercial license availableOpen Source infoApache Version 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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonono
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 infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like DML and DDL statements (CQL); Spark SQLnoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languages.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
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)nofunctions in JavaScriptnono
Triggersnoyesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"nonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infousing specific database classes
User concepts infoAccess controlrights management via user accountsAccess rights for users can be defined per objectnono
More information provided by the system vendor
CrateDBDatastax EnterpriseJSqlDbOracle Berkeley DBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Supporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Applications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
Annual subscription
» more

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CrateDBDatastax EnterpriseJSqlDbOracle Berkeley DBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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