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DBMS > Hawkular Metrics vs. Percona Server for MongoDB vs. Rockset vs. Sphinx vs. Splice Machine

System Properties Comparison Hawkular Metrics vs. Percona Server for MongoDB vs. Rockset vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.A scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSDocument storeDocument storeSearch engineRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score0.50
Rank#250  Overall
#39  Document stores
Score1.07
Rank#180  Overall
#31  Document stores
Score5.97
Rank#56  Overall
#5  Search engines
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.hawkular.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbrockset.comsphinxsearch.comsplicemachine.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.percona.com/­percona-distribution-for-mongodbdocs.rockset.comsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperCommunity supported by Red HatPerconaRocksetSphinx Technologies Inc.Splice Machine
Initial release20142015201920012014
Current release3.4.10-2.10, November 20173.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL Version 2commercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++Java
Server operating systemsLinux
OS X
Windows
LinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesdynamic typingnoyes
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 infoingestion from XML files supported
Secondary indexesnoyesall fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP RESTproprietary protocol using JSONHTTP RESTProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJavaScriptnonoyes infoJava
Triggersyes infovia Hawkular Alertingnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engineyes
User concepts infoAccess controlnoAccess rights for users and rolesAccess rights for users and organizations can be defined via Rockset consolenoAccess rights for users, groups and roles according to SQL-standard

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More resources
Hawkular MetricsPercona Server for MongoDBRocksetSphinxSplice Machine
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