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DBMS > Apache Impala vs. Datomic vs. GeoSpock vs. JSqlDb

System Properties Comparison Apache Impala vs. Datomic vs. GeoSpock vs. JSqlDb

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonGeoSpock  Xexclude from comparisonJSqlDb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySpatial and temporal data processing engine for extreme data scaleJavaScript Query Language Database, stores JavaScript objects and primitives
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Websiteimpala.apache.orgwww.datomic.comgeospock.comjsqldb.org (offline)
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectGeoSpockKonrad von Backstrom
Initial release201320122018
Current release4.1.0, June 20221.0.7180, July 20242.0, September 20190.8, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ClojureJava, Javascript
Server operating systemsLinuxAll OS with a Java VMhostedLinux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyestemporal, categoricalno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsnofunctions in JavaScript
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per table

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More resources
Apache ImpalaDatomicGeoSpockJSqlDb
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