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DBMS > 4D vs. Atos Standard Common Repository vs. GridGain vs. QuestDB vs. VoltDB

System Properties Comparison 4D vs. Atos Standard Common Repository vs. GridGain vs. QuestDB vs. VoltDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGridGain  Xexclude from comparisonQuestDB  Xexclude from comparisonVoltDB  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 networksGridGain is an in-memory computing platform, built on Apache IgniteA high performance open source SQL database for time series dataDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSDocument store
Key-value store
Key-value store
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gridgain.comquestdb.iowww.voltdb.com
Technical documentationdeveloper.4d.comwww.gridgain.com/­docs/­index.htmlquestdb.io/­docsdocs.voltdb.com
Developer4D, IncAtos Convergence CreatorsGridGain Systems, Inc.QuestDB Technology IncVoltDB Inc.
Initial release19842016200720142010
Current releasev20, April 20231703GridGain 8.5.111.3, April 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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, C++, .NetJava (Zero-GC), C++, RustJava, C++
Server operating systemsOS X
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X infofor development
Data schemeyesSchema and schema-less with LDAP viewsyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.yesyesyesno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92noANSI-99 for query and DML statements, subset of DDLSQL with time-series extensionsyes infoonly a subset of SQL 99
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)noJava
Triggersyesyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes (replicated cache)Source-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID for single-table writesACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infothrough memory mapped files
User concepts infoAccess controlUsers and groupsLDAP bind authenticationSecurity Hooks for custom implementationsUsers and roles with access to stored procedures
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryGridGainQuestDBVoltDB
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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