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DBMS > 4D vs. Atos Standard Common Repository vs. QuestDB vs. Splice Machine vs. Transwarp StellarDB

System Properties Comparison 4D vs. Atos Standard Common Repository vs. QuestDB vs. Splice Machine vs. Transwarp StellarDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonQuestDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly 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 distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSRelational DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryquestdb.iosplicemachine.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdeveloper.4d.comquestdb.io/­docssplicemachine.com/­how-it-works
Developer4D, IncAtos Convergence CreatorsQuestDB Technology IncSplice MachineTranswarp
Initial release1984201620142014
Current releasev20, April 202317033.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, 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 languageJavaJava (Zero-GC), C++, RustJava
Server operating systemsOS X
Windows
LinuxLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.yesyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92noSQL with time-series extensionsyesSQL-like query language
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
OpenCypher
Supported programming languages4D proprietary IDE
PHP
All 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 proceduresyesnonoyes infoJava
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.noyesyes infothrough memory mapped filesyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryQuestDBSplice MachineTranswarp StellarDB
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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