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DBMS > QuestDB vs. Splice Machine vs. Stardog vs. SWC-DB

System Properties Comparison QuestDB vs. Splice Machine vs. Stardog vs. SWC-DB

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonStardog  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA 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 SparkEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
RDF store
Wide column store
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitequestdb.iosplicemachine.comwww.stardog.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationquestdb.io/­docssplicemachine.com/­how-it-worksdocs.stardog.com
DeveloperQuestDB Technology IncSplice MachineStardog-UnionAlex Kashirin
Initial release2014201420102020
Current release3.1, March 20217.3.0, May 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3
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 languageJava (Zero-GC), C++, RustJavaJavaC++
Server operating systemsLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeyes infoschema-free via InfluxDB Line Protocolyesschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono infoImport/export of XML data possibleno
Secondary indexesnoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL with time-series extensionsyesYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Proprietary protocol
Thrift
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Server-side scripts infoStored proceduresnoyes infoJavauser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
QuestDBSplice MachineStardogSWC-DB infoSuper Wide Column Database
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
QuestDBSplice MachineStardogSWC-DB infoSuper Wide Column Database
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