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DBMS > Apache Impala vs. EXASOL vs. GeoSpock vs. InfluxDB vs. RisingWave

System Properties Comparison Apache Impala vs. EXASOL vs. GeoSpock vs. InfluxDB vs. RisingWave

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonInfluxDB  Xexclude from comparisonRisingWave  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleDBMS for storing time series, events and metricsA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Websiteimpala.apache.orgwww.exasol.comgeospock.comwww.influxdata.com/­products/­influxdb-overviewwww.risingwave.com/­database
Technical documentationimpala.apache.org/­impala-docs.htmlwww.exasol.com/­resourcesdocs.influxdata.com/­influxdbdocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaExasolGeoSpockRisingWave Labs
Initial release2013200020132022
Current release4.1.0, June 20222.0, September 20192.7.6, April 20241.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptGoRust
Server operating systemsLinuxhostedLinux
OS X infothrough Homebrew
Docker
Linux
macOS
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data and StringsStandard SQL-types and JSON
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.nonononono
Secondary indexesyesyestemporal, categoricalnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesANSI SQL for query only (using Presto)SQL-like query languageyes
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JDBCHTTP API
JSON over UDP
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBCJava
Lua
Python
R
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnonoUDFs in Python or Java
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic shardingSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnoyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tablesimple rights management via user accountsUsers and Roles
More information provided by the system vendor
Apache ImpalaEXASOLGeoSpockInfluxDBRisingWave
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
Apache ImpalaEXASOLGeoSpockInfluxDBRisingWave
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