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DBMS > IRONdb vs. PlanetScale vs. Quasardb vs. Sphinx vs. Splice Machine

System Properties Comparison IRONdb vs. PlanetScale vs. Quasardb vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable, distributed, serverless MySQL database platform built on top of VitessDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/planetscale.comquasar.aisphinxsearch.comsplicemachine.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedplanetscale.com/­docsdoc.quasar.ai/­mastersphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperCirconus LLC.PlanetScalequasardbSphinx Technologies Inc.Splice Machine
Initial release20172020200920012014
Current releaseV0.10.20, January 20183.14.1, January 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++GoC++C++Java
Server operating systemsLinuxDocker
Linux
macOS
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes infointeger and binarynoyes
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
Secondary indexesnoyesyes infowith tagsyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infowith proprietary extensionsSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP APIADO.NET
JDBC
MySQL protocol
ODBC
HTTP APIProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, in Luayes infoproprietary syntaxnonoyes infoJava
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replication
Source-replica replication
Source-replica replication with selectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes 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.noyesyes infoTransient modeyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesCryptographically strong user authentication and audit trailnoAccess rights for users, groups and roles according to SQL-standard

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IRONdbPlanetScaleQuasardbSphinxSplice Machine
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