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DBMS > Microsoft Azure Cosmos DB vs. QuestDB vs. SingleStore vs. Splice Machine vs. SwayDB

System Properties Comparison Microsoft Azure Cosmos DB vs. QuestDB vs. SingleStore vs. Splice Machine vs. SwayDB

Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceA high performance open source SQL database for time series dataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteazure.microsoft.com/­services/­cosmos-dbquestdb.iowww.singlestore.comsplicemachine.comswaydb.simer.au
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbquestdb.io/­docsdocs.singlestore.comsplicemachine.com/­how-it-works
DeveloperMicrosoftQuestDB Technology IncSingleStore Inc.Splice MachineSimer Plaha
Initial release20142014201320142018
Current release8.5, January 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJava (Zero-GC), C++, RustC++, GoJavaScala
Server operating systemshostedLinux
macOS
Windows
Linux info64 bit version requiredLinux
OS X
Solaris
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyesyesschema-free
Typing infopredefined data types such as float or dateyes infoJSON typesyesyesyesno
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 indexesyes infoAll properties auto-indexed by defaultnoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL with time-series extensionsyes infobut no triggers and foreign keysyesno
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresJavaScriptnoyesyes infoJavano
TriggersJavaScriptnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)Sharding infohash partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication with eventual consistencySource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono infocan define user-defined aggregate functions for map-reduce-style calculationsYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACID for single-table writesACIDACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyesyesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelFine grained access control via users, groups and rolesAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBQuestDBSingleStore infoformer name was MemSQLSplice MachineSwayDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
F ree Tier and Enterprise Edition
» more
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More resources
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