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DBMS > Atos Standard Common Repository vs. Hypertable vs. Ignite vs. Quasardb vs. SpaceTime

System Properties Comparison Atos Standard Common Repository vs. Hypertable vs. Ignite vs. Quasardb vs. SpaceTime

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHypertable  Xexclude from comparisonIgnite  Xexclude from comparisonQuasardb  Xexclude from comparisonSpaceTime  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn open source BigTable implementation based on distributed file systems such as HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Distributed, high-performance timeseries databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument store
Key-value store
Wide column storeKey-value store
Relational DBMS
Time Series DBMSSpatial 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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryignite.apache.orgquasar.aiwww.mireo.com/­spacetime
Technical documentationapacheignite.readme.io/­docsdoc.quasar.ai/­master
DeveloperAtos Convergence CreatorsHypertable Inc.Apache Software FoundationquasardbMireo
Initial release20162009201520092020
Current release17030.9.8.11, March 2016Apache Ignite 2.63.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java, .NetC++C++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalnoyesyes infointeger and binaryyes
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.yesyesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes infowith tagsno
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLSQL-like query languageA subset of ANSI SQL is implemented
APIs and other access methodsLDAPC++ API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIRESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC++
Java
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Python
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)nono
Triggersyesnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding infoconsistent hashingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelyes (replicated cache)Source-replica replication with selectable replication factorReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)with Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeno
User concepts infoAccess controlLDAP bind authenticationnoSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trailyes

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More resources
Atos Standard Common RepositoryHypertableIgniteQuasardbSpaceTime
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