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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonQuestDB  Xexclude from comparisonSplice Machine  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 Spark
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#165  Overall
#11  Time Series DBMS
Score0.87
Rank#185  Overall
#89  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryquestdb.iosplicemachine.com
Technical documentationquestdb.io/­docs/­introductiondoc.splicemachine.com
DeveloperAtos Convergence CreatorsQuestDB LimitedSplice Machine
Initial release201620142014
Current release17033.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesno
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsLDAPHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
JDBC
Native Spark Datasource
ODBC
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
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable consistency for N replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
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 Machine
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Atos Standard Common RepositoryQuestDBSplice Machine
Recent citations in the news

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

QuestDB Raises $12M in Series A Funding
8 November 2021, FinSMEs

QuestDB nabs $2.3M seed to build open source time series database
2 July 2020, TechCrunch

Q&A: Nicolas Hourcard, QuestDB: The advantages of a time-series database
3 December 2020, Developer Tech

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Splice Machine Announces New Capabilities to Support Real-Time AI with Version 3.1 of its Scale-Out SQL Database
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19 January 2021, PRNewswire

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine database travels full circle to predictive application platform
25 September 2017, ZDNet

Splice Machine Introduces New Edition of Livewire Operational AI Platform for Industrial Users
25 May 2021, PRNewswire

provided by Google News



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