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DBMS > Newts vs. QuestDB vs. SiteWhere vs. STSdb

System Properties Comparison Newts vs. QuestDB vs. SiteWhere vs. STSdb

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Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonQuestDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionTime Series DBMS based on CassandraA high performance open source SQL database for time series dataM2M integration platform for persisting/querying time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteopennms.github.io/­newtsquestdb.iogithub.com/­sitewhere/­sitewheregithub.com/­STSSoft/­STSdb4
Technical documentationgithub.com/­OpenNMS/­newts/­wikiquestdb.io/­docssitewhere1.sitewhere.io/­index.html
DeveloperOpenNMS GroupQuestDB Technology IncSiteWhereSTS Soft SC
Initial release2014201420102011
Current release4.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoGPLv2, 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++, RustJavaC#
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolpredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesnononono
SQL infoSupport of SQLnoSQL with time-series extensionsnono
APIs and other access methodsHTTP REST
Java API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
HTTP REST.NET Client API
Supported programming languagesJavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C#
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning (by timestamps)Sharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication with eventual consistencyselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesnono
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.noyes infothrough memory mapped filesno
User concepts infoAccess controlnoUsers with fine-grained authorization conceptno
More information provided by the system vendor
NewtsQuestDBSiteWhereSTSdb
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
NewtsQuestDBSiteWhereSTSdb
Recent citations in the news

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