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DBMS > H2 vs. QuestDB vs. Sphinx vs. SQL.JS vs. Teradata

System Properties Comparison H2 vs. QuestDB vs. Sphinx vs. SQL.JS vs. Teradata

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScriptA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSTime Series DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.h2database.comquestdb.iosphinxsearch.comsql.js.orgwww.teradata.com
Technical documentationwww.h2database.com/­html/­main.htmlquestdb.io/­docssphinxsearch.com/­docssql.js.org/­documentation/­index.htmldocs.teradata.com
DeveloperThomas MuellerQuestDB Technology IncSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersTeradata
Initial release20052014200120121984
Current release2.2.220, July 20233.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustC++JavaScript
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)hosted
Linux
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyes
Secondary indexesyesnoyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesSQL with time-series extensionsSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocolJavaScript API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScriptC
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication with eventual consistencynonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard
More information provided by the system vendor
H2QuestDBSphinxSQL.JSTeradata
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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