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DBMS > Apache Impala vs. EventStoreDB vs. Rockset vs. SpatiaLite

System Properties Comparison Apache Impala vs. EventStoreDB vs. Rockset vs. SpatiaLite

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEventStoreDB  Xexclude from comparisonRockset  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopIndustrial-strength, open-source database solution built from the ground up for event sourcing.A scalable, reliable search and analytics service in the cloud, built on RocksDBSpatial extension of SQLite
Primary database modelRelational DBMSEvent StoreDocument storeSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.82
Rank#212  Overall
#36  Document stores
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteimpala.apache.orgwww.eventstore.comrockset.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.eventstore.comdocs.rockset.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEvent Store LimitedRocksetAlessandro Furieri
Initial release2013201220192008
Current release4.1.0, June 202221.2, February 20215.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourcecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinuxLinux
Windows
hostedserver-less
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingyes
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.nono infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsRead-only SQL queries, including JOINsyes
APIs and other access methodsJDBC
ODBC
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Apache ImpalaEventStoreDBRocksetSpatiaLite
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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