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DBMS > Hazelcast vs. Prometheus vs. SingleStore vs. TerminusDB

System Properties Comparison Hazelcast vs. Prometheus vs. SingleStore vs. TerminusDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonPrometheus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA widely adopted in-memory data gridOpen-source Time Series DBMS and monitoring systemMySQL 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 typeScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value storeTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitehazelcast.comprometheus.iowww.singlestore.comterminusdb.com
Technical documentationhazelcast.org/­imdg/­docsprometheus.io/­docsdocs.singlestore.comterminusdb.github.io/­terminusdb/­#
DeveloperHazelcastSingleStore Inc.DataChemist Ltd.
Initial release2008201520132018
Current release5.3.6, November 20238.5, January 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoGPL V3
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 languageJavaGoC++, GoProlog, Rust
Server operating systemsAll OS with a Java VMLinux
Windows
Linux info64 bit version requiredLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.yes infothe object must implement a serialization strategyno infoImport of XML data possiblenono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyes infobut no triggers and foreign keysSQL-like query language (WOQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyesyes
Triggersyes infoEventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioningGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes infoby FederationSource-replica replication infostores two copies of each physical data partition on two separate nodesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access controlnoFine grained access control via users, groups and rolesRole-based access control
More information provided by the system vendor
HazelcastPrometheusSingleStore infoformer name was MemSQLTerminusDB infoformer name was DataChemist
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX 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 modelsF ree Tier and Enterprise Edition
» 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
HazelcastPrometheusSingleStore infoformer name was MemSQLTerminusDB infoformer name was DataChemist
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