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DBMS > Atos Standard Common Repository vs. BigchainDB vs. HEAVY.AI vs. RavenDB vs. Sqrrl

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. HEAVY.AI vs. RavenDB vs. Sqrrl

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRavenDB  Xexclude from comparisonSqrrl  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Key-value store
Document storeRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
ravendb.netsqrrl.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.heavy.airavendb.net/­docs
DeveloperAtos Convergence CreatorsHEAVY.AI, Inc.Hibernating RhinosAmazon infooriginally Sqrrl Data, Inc.
Initial release20162016201620102012
Current release17035.10, January 20225.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC++ and CUDAC#Java
Server operating systemsLinuxLinuxLinuxLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalnoyesnoyes
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesSQL-like query language (RQL)no
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoRound robinShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replicationMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID, Cluster-wide transaction availableAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Atos Standard Common RepositoryBigchainDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RavenDBSqrrl
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