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DBMS > ArcadeDB vs. OpenQM vs. QuestDB vs. Splice Machine

System Properties Comparison ArcadeDB vs. OpenQM vs. QuestDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonQuestDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenQpenQM is a high-performance, self-tuning, multi-value DBMSA 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
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Multivalue DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitearcadedb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmquestdb.iosplicemachine.com
Technical documentationdocs.arcadedb.comquestdb.io/­docssplicemachine.com/­how-it-works
DeveloperArcade DataRocket Software, originally Martin PhillipsQuestDB Technology IncSplice Machine
Initial release2021199320142014
Current releaseSeptember 20213.4-123.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
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 languageJavaJava (Zero-GC), C++, RustJava
Server operating systemsAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infowith some exceptionsyes infoschema-free via InfluxDB Line Protocolyes
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.noyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language, no joinsnoSQL with time-series extensionsyes
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava.Net
Basic
C
Java
Objective C
PHP
Python
C 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 proceduresyesnoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by timestamps)Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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 filesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ArcadeDBOpenQM infoalso called QMQuestDBSplice Machine
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
ArcadeDBOpenQM infoalso called QMQuestDBSplice Machine
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