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DBMS > Apache Impala vs. GeoSpock vs. RisingWave

System Properties Comparison Apache Impala vs. GeoSpock vs. RisingWave

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonRisingWave  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopSpatial and temporal data processing engine for extreme data scaleA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational 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
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websiteimpala.apache.orggeospock.comwww.risingwave.com/­database
Technical documentationimpala.apache.org/­impala-docs.htmldocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockRisingWave Labs
Initial release20132022
Current release4.1.0, June 20222.0, September 20191.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptRust
Server operating systemsLinuxhostedDocker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesStandard 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.nonono
Secondary indexesyestemporal, categoricalyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBC
ODBC
JDBCJDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoUDFs in Python or Java
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per tableUsers and Roles

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More resources
Apache ImpalaGeoSpockRisingWave
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