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DBMS > Apache Impala vs. GeoSpock vs. OpenTSDB

System Properties Comparison Apache Impala vs. GeoSpock vs. OpenTSDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonOpenTSDB  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 scaleScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score1.73
Rank#147  Overall
#12  Time Series DBMS
Websiteimpala.apache.orggeospock.comopentsdb.net
Technical documentationimpala.apache.org/­impala-docs.htmlopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpockcurrently maintained by Yahoo and other contributors
Initial release20132011
Current release4.1.0, June 20222.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptJava
Server operating systemsLinuxhostedLinux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tags
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, categoricalno
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
ODBC
JDBCHTTP API
Telnet API
Supported programming languagesAll languages supporting JDBC/ODBCErlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBase
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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per tableno

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More resources
Apache ImpalaGeoSpockOpenTSDB
DB-Engines blog posts

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