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DBMS > Apache Pinot vs. Atos Standard Common Repository vs. H2 vs. IRONdb vs. OrigoDB

System Properties Comparison Apache Pinot vs. Atos Standard Common Repository vs. H2 vs. IRONdb vs. OrigoDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonH2  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA fully ACID in-memory object graph database
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSTime Series DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitepinot.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.h2database.comwww.circonus.com/solutions/time-series-database/origodb.com
Technical documentationdocs.pinot.apache.orgwww.h2database.com/­html/­main.htmldocs.circonus.com/irondb/category/getting-startedorigodb.com/­docs
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsThomas MuellerCirconus LLC.Robert Friberg et al
Initial release20152016200520172009 infounder the name LiveDB
Current release1.0.0, September 202317032.2.220, July 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC and C++C#
Server operating systemsAll OS with a Java JDK11 or higherLinuxAll OS with a Java VMLinuxLinux
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyes infotext, numeric, histogramsUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBCLDAPJDBC
ODBC
HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesGo
Java
Python
All languages with LDAP bindingsJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes, in Luayes
Triggersyesyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionnoneAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseconfigurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardnoRole based authorization

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More resources
Apache PinotAtos Standard Common RepositoryH2IRONdbOrigoDB
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