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DBMS > GreptimeDB vs. HyperSQL vs. LeanXcale vs. SingleStore

System Properties Comparison GreptimeDB vs. HyperSQL vs. LeanXcale vs. SingleStore

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMySQL 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 type
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitegreptime.comhsqldb.orgwww.leanxcale.comwww.singlestore.com
Technical documentationdocs.greptime.comhsqldb.org/­web/­hsqlDocsFrame.htmldocs.singlestore.com
DeveloperGreptime Inc.LeanXcaleSingleStore Inc.
Initial release2022200120152013
Current release2.7.2, June 20238.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infobased on BSD licensecommercialcommercial infofree developer edition 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.
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 languageRustJavaC++, Go
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux info64 bit version required
Data schemeschema-free, schema definition possibleyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes infothrough Apache Derbyyes infobut no triggers and foreign keys
APIs and other access methodsgRPC
HTTP API
JDBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC++
Erlang
Go
Java
JavaScript
All languages supporting JDBC/ODBC
Java
C
Java
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonJava, SQLyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
GreptimeDBHyperSQL infoalso known as HSQLDBLeanXcaleSingleStore infoformer name was MemSQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
F ree Tier and Enterprise Edition
» more

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More resources
GreptimeDBHyperSQL infoalso known as HSQLDBLeanXcaleSingleStore infoformer name was MemSQL
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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