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DBMS > Hive vs. OpenTSDB vs. PieCloudDB vs. Prometheus vs. TimescaleDB

System Properties Comparison Hive vs. OpenTSDB vs. PieCloudDB vs. Prometheus vs. TimescaleDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPieCloudDB  Xexclude from comparisonPrometheus  Xexclude from comparisonTimescaleDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopScalable Time Series DBMS based on HBaseA cloud-native analytic database platform with new technologoy for elastic MPPOpen-source Time Series DBMS and monitoring systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitehive.apache.orgopentsdb.netwww.openpie.comprometheus.iowww.timescale.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docsdocs.timescale.com
DeveloperApache Software Foundation infoinitially developed by Facebookcurrently maintained by Yahoo and other contributorsOpenPieTimescale
Initial release2012201120152017
Current release3.1.3, April 20222.1, January 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoLGPLcommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoC
Server operating systemsAll OS with a Java VMLinux
Windows
hostedLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsyesNumeric data onlynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nono infoImport of XML data possibleyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
Telnet API
CLI Client
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
PHP
Python
Erlang
Go
Java
Python
R
Ruby
Java
PL/SQL
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseyesShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBaseyesyes infoby FederationSource-replica replication with hot standby and reads on replicas info
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 Consistency infobased on HBaseImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rolesnoUser Roles and pluggable authentication with full SQL Standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
HiveOpenTSDBPieCloudDBPrometheusTimescaleDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
HiveOpenTSDBPieCloudDBPrometheusTimescaleDB
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