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DBMS > Datomic vs. Quasardb vs. QuestDB vs. VoltDB

System Properties Comparison Datomic vs. Quasardb vs. QuestDB vs. VoltDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed, high-performance timeseries databaseA 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 DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websitewww.datomic.comquasar.aiquestdb.iowww.voltdb.com
Technical documentationdocs.datomic.comdoc.quasar.ai/­masterquestdb.io/­docsdocs.voltdb.com
DeveloperCognitectquasardbQuestDB Technology IncVoltDB Inc.
Initial release2012200920142010
Current release1.0.7180, July 20243.14.1, January 202411.3, April 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java (Zero-GC), C++, RustJava, C++
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
macOS
Windows
Linux
OS X infofor development
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyes
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.nonono
Secondary indexesyesyes infowith tagsnoyes
SQL infoSupport of SQLnoSQL-like query languageSQL with time-series extensionsyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APIHTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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 proceduresyes infoTransaction FunctionsnonoJava
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoconsistent hashinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication with selectable replication factorSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoby using LevelDByesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes infoTransient modeyes infothrough memory mapped files
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailUsers and roles with access to stored procedures
More information provided by the system vendor
DatomicQuasardbQuestDBVoltDB
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