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DBMS > H2 vs. OpenTSDB vs. Prometheus vs. Spark SQL

System Properties Comparison H2 vs. OpenTSDB vs. Prometheus vs. Spark SQL

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Scalable Time Series DBMS based on HBaseOpen-source Time Series DBMS and monitoring systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.h2database.comopentsdb.netprometheus.iospark.apache.org/­sql
Technical documentationwww.h2database.com/­html/­main.htmlopentsdb.net/­docs/­build/­html/­index.htmlprometheus.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperThomas Muellercurrently maintained by Yahoo and other contributorsApache Software Foundation
Initial release2005201120152014
Current release2.2.220, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoLGPLOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoScala
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnonono
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
HTTP API
Telnet API
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesJavaErlang
Go
Java
Python
R
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on HBaseShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infobased on HBaseyes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infobased on HBasenone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonono

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More resources
H2OpenTSDBPrometheusSpark SQL
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