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DBMS > Linter vs. OpenQM vs. QuestDB vs. TigerGraph

System Properties Comparison Linter vs. OpenQM vs. QuestDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonQuestDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionRDBMS for high security requirementsQpenQM is a high-performance, self-tuning, multi-value DBMSA high performance open source SQL database for time series dataA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSMultivalue DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitelinter.ruwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmquestdb.iowww.tigergraph.com
Technical documentationquestdb.io/­docsdocs.tigergraph.com
Developerrelex.ruRocket Software, originally Martin PhillipsQuestDB Technology Inc
Initial release1990199320142017
Current release3.4-12
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0commercial
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 languageC and C++Java (Zero-GC), C++, RustC++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeyesyes 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.noyesnono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoSQL with time-series extensionsSQL-like query language (GSQL)
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Basic
C
Java
Objective C
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLyesnoyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyeshorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 filesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelRole-based access control
More information provided by the system vendor
LinterOpenQM infoalso called QMQuestDBTigerGraph
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
LinterOpenQM infoalso called QMQuestDBTigerGraph
Recent citations in the news

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3 November 2021, TechCrunch

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

Q&A: Nicolas Hourcard, QuestDB: The advantages of a time-series database
3 December 2020, Developer News

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

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2 November 2022, FinanceFeeds

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30 April 2024, InfoWorld

New TigerGraph CEO Refocuses Efforts on Enterprise Customers
31 July 2023, Datanami

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20 June 2023, SiliconANGLE News

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