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DBMS > ClickHouse vs. RavenDB vs. Spark SQL vs. SpatiaLite vs. Transbase

System Properties Comparison ClickHouse vs. RavenDB vs. Spark SQL vs. SpatiaLite vs. Transbase

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLiteA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument storeRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.05
Rank#44  Overall
#28  Relational DBMS
Score3.24
Rank#94  Overall
#16  Document stores
Score22.97
Rank#34  Overall
#20  Relational DBMS
Score1.96
Rank#122  Overall
#2  Spatial DBMS
Score0.15
Rank#295  Overall
#137  Relational DBMS
Websiteclickhouse.techravendb.netspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technical documentationclickhouse.tech/­docsravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.transaction.de/­en/­transbase-inside
DeveloperYandex LLCHibernating RhinosApache Software FoundationAlessandro FurieriTransaction Software GmbH
Initial release20162010201420081987
Current releasev21.10.2.15-stable, October 20215.2, June 20213.2.0, October 20215.0.0, August 2020Transbase 8.4, September 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial infofree development license
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.
Implementation languageC++C#ScalaC++C and C++
Server operating systemsFreeBSD
Linux
macOS
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
server-lessFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like query language (RQL)SQL-like DML and DDL statementsyesyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMapReduce functions can be defined in Linqnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availablenoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesno
User concepts infoAccess controlAccess rights for users and rolesAccess control on document level using the Authorization Bundlenonofine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseRavenDBSpark SQLSpatiaLiteTransbase
Specific characteristicsRavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesRavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosIoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersToyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsRavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

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More resources
ClickHouseRavenDBSpark SQLSpatiaLiteTransbase
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