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DBMS > CrateDB vs. Oracle vs. Oracle Berkeley DB vs. RethinkDB vs. SAP HANA

System Properties Comparison CrateDB vs. Oracle vs. Oracle Berkeley DB vs. RethinkDB vs. SAP HANA

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonOracle  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRethinkDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionDistributed Database based on LuceneWidely used RDBMSWidely used in-process key-value storeDBMS for the Web with a mechanism to push updated query results to applications in realtime.In-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Spatial DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitecratedb.comwww.oracle.com/­databasewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrethinkdb.comwww.sap.com/­products/­hana.html
Technical documentationcratedb.com/­docsdocs.oracle.com/­en/­databasedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrethinkdb.com/­docshelp.sap.com/­hana
DeveloperCrateOracleOracle infooriginally developed by Sleepycat, which was acquired by OracleThe Linux Foundation infosince July 2017SAP
Initial release20131980199420092010
Current release23c, September 202318.1.40, May 20202.4.1, August 20202.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Sourcecommercial inforestricted free version is availableOpen Source infocommercial license availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
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.
Implementation languageJavaC and C++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Appliance or cloud-service
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoSchemaless in JSON and XML columnsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infostring, binary, float, bool, date, geometryyes
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.noyesyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyes infowith proprietary extensionsyes infoSQL interfaced based on SQLite is availablenoyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
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++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.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 infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functions (Javascript)PL/SQL infoalso stored procedures in Java possiblenoSQLScript, R
Triggersnoyesyes infoonly for the SQL APIClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneSharding inforange basedyes
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be realized in PL/SQLnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
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 strategyACID infoisolation level can be parameterizedACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yesnoyes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardnoyes infousers and table-level permissionsyes
More information provided by the system vendor
CrateDBOracleOracle Berkeley DBRethinkDBSAP HANA
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
CrateDBOracleOracle Berkeley DBRethinkDBSAP HANA
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