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DBMS > Atos Standard Common Repository vs. QuestDB vs. Splice Machine vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. QuestDB vs. Splice Machine vs. XTDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonQuestDB  Xexclude from comparisonSplice Machine  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 networksA high performance open source SQL database for time series dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryquestdb.iosplicemachine.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationquestdb.io/­docssplicemachine.com/­how-it-workswww.xtdb.com/­docs
DeveloperAtos Convergence CreatorsQuestDB Technology IncSplice MachineJuxt Ltd.
Initial release2016201420142019
Current release17033.1, March 20211.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustJavaClojure
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeSchema and schema-less with LDAP viewsyes infoschema-free via InfluxDB Line Protocolyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes, 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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL with time-series extensionsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsLDAPHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
HTTP REST
JDBC
Supported programming languagesAll languages with LDAP bindingsC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresnonoyes infoJavano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID for single-table writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, 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.yesyes infothrough memory mapped filesyes
User concepts infoAccess controlLDAP bind authenticationAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryQuestDBSplice MachineXTDB infoformerly named Crux
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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Atos Standard Common RepositoryQuestDBSplice MachineXTDB infoformerly named Crux
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