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DBMS > Atos Standard Common Repository vs. Google BigQuery vs. Greenplum vs. InfinityDB vs. RocksDB

System Properties Comparison Atos Standard Common Repository vs. Google BigQuery vs. Greenplum vs. InfinityDB vs. RocksDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGreenplum  Xexclude from comparisonInfinityDB  Xexclude from comparisonRocksDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLarge scale data warehouse service with append-only tablesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A Java embedded Key-Value Store which extends the Java Map interfaceEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score50.12
Rank#24  Overall
#16  Relational DBMS
Score12.85
Rank#45  Overall
#29  Relational DBMS
Score0.03
Rank#342  Overall
#52  Key-value stores
Score4.26
Rank#89  Overall
#16  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigquerygreenplum.orgboilerbay.comrocksdb.org
Technical documentationcloud.google.com/­bigquery/­docsdocs.greenplum.orgboilerbay.com/­infinitydb/­manualgithub.com/­facebook/­rocksdb/­wiki
DeveloperAtos Convergence CreatorsGooglePivotal Software Inc.Boiler Bay Inc.Facebook, Inc.
Initial release20162010200520022013
Current release17036.7.1, April 20204.07.3.1, June 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoBSD
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 languageJavaJavaC++
Server operating systemsLinuxhostedLinuxAll OS with a Java VMLinux
Data schemeSchema and schema-less with LDAP viewsyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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.yesnoyes infosince Version 4.2nono
Secondary indexesyesnoyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsLDAPRESTful HTTP/JSON APIJDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
C++ API
Java API
Supported programming languagesAll languages with LDAP bindings.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Perl
Python
R
JavaC
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyesnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonoyesno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsno infoSince BigQuery is designed for querying dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononoyes
User concepts infoAccess controlLDAP bind authenticationAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardnono

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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Atos Standard Common RepositoryGoogle BigQueryGreenplumInfinityDBRocksDB
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