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DBMS > AnzoGraph DB vs. Hawkular Metrics vs. OpenEdge vs. Prometheus vs. Riak KV

System Properties Comparison AnzoGraph DB vs. Hawkular Metrics vs. OpenEdge vs. Prometheus vs. Riak KV

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Application development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value store
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitecambridgesemantics.com/­anzographwww.hawkular.orgwww.progress.com/­openedgeprometheus.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCambridge SemanticsCommunity supported by Red HatProgress Software CorporationOpenSource, formerly Basho Technologies
Initial release20182014198420152009
Current release2.3, January 2021OpenEdge 12.2, March 20203.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoErlang
Server operating systemsLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
OS X
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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.nonoyesno infoImport of XML data possibleno
Secondary indexesnonoyesnorestricted
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infoclose to SQL 92nono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP RESTJDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
Supported programming languagesC++
Java
Python
Go
Java
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnoErlang
Triggersnoyes infovia Hawkular Alertingyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infobased on Cassandrahorizontal partitioning infosince Version 11.4ShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factor infobased on CassandraSource-replica replicationyes infoby Federationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users and rolesnoUsers and groupsnoyes, using Riak Security

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More resources
AnzoGraph DBHawkular MetricsOpenEdgePrometheusRiak KV
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