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DBMS > ClickHouse vs. Google Search Appliance vs. Splice Machine

System Properties Comparison ClickHouse vs. Google Search Appliance vs. Splice Machine

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Open-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#82  Overall
#41  Relational DBMS
Score2.77
Rank#94  Overall
#10  Search engines
Score0.72
Rank#178  Overall
#89  Relational DBMS
Websiteclickhouse.yandexenterprise.google.com/­search/­products/­gsa.htmlwww.splicemachine.com
Technical documentationclickhouse.yandex/­docssupport.google.com/­gsadoc.splicemachine.com
DeveloperYandex LLCGoogleJohn Leach
Initial release201620022014
Current releasev19.13.3.26, August 20192.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Solaris
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsAdministrative API
Browser interface
HTTP API
JDBC
ODBC
Supported programming languagesJava
JRuby
Scala
Server-side scripts infoStored proceduresyes infoJava
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUser authentication via various security protocolsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ClickHouseGoogle Search ApplianceSplice Machine
News

The Perils of Modernizing SQL Apps on NoSQL
12 November 2019

Distributed SQL System Review: Snowflake vs Splice Machine
18 September 2019

How to Modernize Legacy Applications with Machine Learning
9 September 2019

Comparing the ACID Properties of Databricks Delta Lake and Splice Machine
21 August 2019

The Public Cloud Did Not Kill Hadoop – But Complexity Could
14 August 2019

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More resources
ClickHouseGoogle Search ApplianceSplice Machine
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