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DBMS > Atos Standard Common Repository vs. BigObject vs. CockroachDB vs. etcd vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. CockroachDB vs. etcd vs. XTDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonCockroachDB  Xexclude from comparisonetcd  Xexclude from comparisonXTDB infoformerly named Crux  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 networksAnalytic DBMS for real-time computations and queriesCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A distributed reliable key-value storeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.18
Rank#332  Overall
#46  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iowww.cockroachlabs.cometcd.io
github.com/­etcd-io/­etcd
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.bigobject.iowww.cockroachlabs.com/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.xtdb.com/­docs
DeveloperAtos Convergence CreatorsBigObject, Inc.Cockroach LabsJuxt Ltd.
Initial release2016201520152019
Current release170324.1.0, May 20243.4, August 20191.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2.0Open Source infoMIT License
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 languageJavaGoGoClojure
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Windows
FreeBSD
Linux
Windows infoexperimental
All OS with a Java 8 (and higher) VM
Linux
Data schemeSchema and schema-less with LDAP viewsyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesnoyes, extensible-data-notation format
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.yesnononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLnolimited SQL, making use of Apache Calcite
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
JDBCgRPC
JSON over HTTP
HTTP REST
JDBC
Supported programming languagesAll languages with LDAP bindingsC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Clojure
Java
Server-side scripts infoStored proceduresnoLuanonono
Triggersyesnonoyes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication using RAFTUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlLDAP bind authenticationnoRole-based access controlno

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More resources
Atos Standard Common RepositoryBigObjectCockroachDBetcdXTDB infoformerly named Crux
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