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DBMS > Ignite vs. InfinityDB vs. mSQL vs. Sphinx vs. TDengine

System Properties Comparison Ignite vs. InfinityDB vs. mSQL vs. Sphinx vs. TDengine

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Java embedded Key-Value Store which extends the Java Map interfacemSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteignite.apache.orgboilerbay.comhughestech.com.au/­products/­msqlsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualsphinxsearch.com/­docsdocs.tdengine.com
DeveloperApache Software FoundationBoiler Bay Inc.Hughes TechnologiesSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release20152002199420012019
Current releaseApache Ignite 2.64.04.4, October 20213.5.1, February 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions available
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 languageC++, Java, .NetJavaCC++C
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesnoyes
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.yesnonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaC
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nononono
Triggersyes (cache interceptors and events)nononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)nonenonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDnone
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsnononoyes
More information provided by the system vendor
IgniteInfinityDBmSQL infoMini SQLSphinxTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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