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DBMS > Apache Impala vs. FeatureBase vs. GeoSpock

System Properties Comparison Apache Impala vs. FeatureBase vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFeatureBase  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Spatial and temporal data processing engine for extreme data scale
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
Score0.23
Rank#296  Overall
#134  Relational DBMS
Websiteimpala.apache.orgwww.featurebase.comgeospock.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.featurebase.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMolecula and Pilosa Open Source ContributorsGeoSpock
Initial release20132017
Current release4.1.0, June 20222022, May 20222.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJava, Javascript
Server operating systemsLinuxLinux
macOS
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnotemporal, categorical
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL queriesANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per table

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More resources
Apache ImpalaFeatureBaseGeoSpock
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