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DBMS > Apache Impala vs. Atos Standard Common Repository vs. FoundationDB vs. H2 vs. OrigoDB

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. FoundationDB vs. H2 vs. OrigoDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  Xexclude from comparisonOrigoDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOrdered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fully ACID in-memory object graph database
Primary database modelRelational DBMSDocument store
Key-value store
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­apple/­foundationdbwww.h2database.comorigodb.com
Technical documentationimpala.apache.org/­impala-docs.htmlapple.github.io/­foundationdbwww.h2database.com/­html/­main.htmlorigodb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsFoundationDBThomas MuellerRobert Friberg et al
Initial release20132016201320052009 infounder the name LiveDB
Current release4.1.0, June 202217036.2.28, November 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++JavaC#
Server operating systemsLinuxLinuxLinux
OS X
Windows
All OS with a Java VMLinux
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesoptionalno infosome layers support typingyesUser 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.noyesnono infocan be achieved using .NET
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnosupported in specific SQL layer onlyyesno
APIs and other access methodsJDBC
ODBC
LDAPJDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindings.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoin SQL-layer onlyJava Stored Procedures and User-Defined Functionsyes
Triggersnoyesnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationnofine grained access rights according to SQL-standardRole based authorization

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More resources
Apache ImpalaAtos Standard Common RepositoryFoundationDBH2OrigoDB
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