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DBMS > Hawkular Metrics vs. KeyDB vs. OpenMLDB vs. SingleStore

System Properties Comparison Hawkular Metrics vs. KeyDB vs. OpenMLDB vs. SingleStore

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonKeyDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAn open-source machine learning database that provides a feature platform for training and inferenceMySQL 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 DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.hawkular.orggithub.com/­Snapchat/­KeyDB
keydb.dev
openmldb.aiwww.singlestore.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.keydb.devopenmldb.ai/­docs/­zh/­maindocs.singlestore.com
DeveloperCommunity supported by Red HatEQ Alpha Technology Ltd.4 Paradigm Inc.SingleStore Inc.
Initial release2014201920202013
Current release2024-2 February 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-3Open Sourcecommercial 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.
Implementation languageJavaC++C++, Java, ScalaC++, Go
Server operating systemsLinux
OS X
Windows
LinuxLinuxLinux info64 bit version required
Data schemeschema-freeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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 indexesnoyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnonoyesyes infobut no triggers and foreign keys
APIs and other access methodsHTTP RESTProprietary protocol infoRESP - REdis Serialization ProtocoJDBC
SQLAlchemy
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java
Python
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoLuanoyes
Triggersyes infovia Hawkular Alertingnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardinghorizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes 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.noyesyesyes
User concepts infoAccess controlnosimple password-based access control and ACLfine grained access rights according to SQL-standardFine grained access control via users, groups and roles

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More resources
Hawkular MetricsKeyDBOpenMLDBSingleStore infoformer name was MemSQL
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