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DBMS > Apache Impala vs. Heroic vs. Hyprcubd vs. OpenTSDB

System Properties Comparison Apache Impala vs. Heroic vs. Hyprcubd vs. OpenTSDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHeroic  Xexclude from comparisonHyprcubd  Xexclude from comparisonOpenTSDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchServerless Time Series DBMSScalable Time Series DBMS based on HBase
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websiteimpala.apache.orggithub.com/­spotify/­heroichyprcubd.com (offline)opentsdb.net
Technical documentationimpala.apache.org/­impala-docs.htmlspotify.github.io/­heroicopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSpotifyHyprcubd, Inc.currently maintained by Yahoo and other contributors
Initial release201320142011
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoJava
Server operating systemsLinuxhostedLinux
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringnumeric 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.nononono
Secondary indexesyesyes infovia Elasticsearchnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC (https)HTTP 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-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberostoken accessno

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More resources
Apache ImpalaHeroicHyprcubdOpenTSDB
DB-Engines blog posts

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