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DBMS > Apache Impala vs. GeoSpock vs. UniData,UniVerse vs. Yaacomo

System Properties Comparison Apache Impala vs. GeoSpock vs. UniData,UniVerse vs. Yaacomo

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonYaacomo  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopSpatial and temporal data processing engine for extreme data scaleMultiValue database and application server with SQL mapping layer and meta database capabilitiesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websiteimpala.apache.orggeospock.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatayaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockRocket SoftwareQ2WEB GmbH
Initial release201319852009
Current release4.1.0, June 20222.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial
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
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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, categoricalyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for query only (using Presto)yesyes
APIs and other access methodsJDBC
ODBC
JDBCJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes
Triggersnonoyes infoU2 Basicyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication
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 integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 tableAccess rights according to SQL-standard and operating system basedfine grained access rights according to SQL-standard

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More resources
Apache ImpalaGeoSpockUniData,UniVerseYaacomo
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