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DBMS > Apache Impala vs. GeoSpock vs. SWC-DB vs. XTDB

System Properties Comparison Apache Impala vs. GeoSpock vs. SWC-DB vs. XTDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonXTDB infoformerly named Crux  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 high performance, scalable Wide Column DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSWide column storeDocument store
Secondary database modelsDocument storeTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.11
Rank#343  Overall
#46  Document stores
Websiteimpala.apache.orggeospock.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockAlex KashirinJuxt Ltd.
Initial release201320202019
Current release4.1.0, June 20222.0, September 20190.5, April 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL V3Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptC++Clojure
Server operating systemsLinuxhostedLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation format
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 indexesyestemporal, categoricalyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for query only (using Presto)SQL-like query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
JDBCProprietary protocol
Thrift
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCC++Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, each node contains all data
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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 ImpalaGeoSpockSWC-DB infoSuper Wide Column DatabaseXTDB infoformerly named Crux
Recent citations in the news

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop
12 March 2017, Uber

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GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, VanillaPlus

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8 October 2020, Cambridge Independent

Big data processing techniques to streamline analytics
5 October 2018, TechTarget

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5 October 2021, The Economic Times

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17 December 2022, Ozarks Sports Zone

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