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DBMS > OpenMLDB vs. Quasardb vs. ScyllaDB vs. SiteWhere

System Properties Comparison OpenMLDB vs. Quasardb vs. ScyllaDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonQuasardb  Xexclude from comparisonScyllaDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, high-performance timeseries databaseCassandra and DynamoDB compatible wide column storeM2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSTime Series DBMSWide column storeTime Series DBMS
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websiteopenmldb.aiquasar.aiwww.scylladb.comgithub.com/­sitewhere/­sitewhere
Technical documentationopenmldb.ai/­docs/­zh/­maindoc.quasar.ai/­masterdocs.scylladb.comsitewhere1.sitewhere.io/­index.html
Developer4 Paradigm Inc.quasardbScyllaDBSiteWhere
Initial release2020200920152010
Current release2024-2 February 20243.14.1, January 2024ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoCommon Public Attribution License Version 1.0
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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++, Java, ScalaC++C++Java
Server operating systemsLinuxBSD
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeFixed schemaschema-freeschema-freepredefined scheme
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.nononono
Secondary indexesyesyes infowith tagsyes infocluster global secondary indicesno
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statements (CQL)no
APIs and other access methodsJDBC
SQLAlchemy
HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP REST
Supported programming languagesC++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnonoyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoconsistent hashingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes infoin-memory tablesno
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailAccess rights for users can be defined per objectUsers with fine-grained authorization concept
More information provided by the system vendor
OpenMLDBQuasardbScyllaDBSiteWhere
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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OpenMLDBQuasardbScyllaDBSiteWhere
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