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DBMS > ArcadeDB vs. Hawkular Metrics vs. HugeGraph vs. Sphinx

System Properties Comparison ArcadeDB vs. Hawkular Metrics vs. HugeGraph vs. Sphinx

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHugeGraph  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fast-speed and highly-scalable Graph DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Time Series DBMSGraph DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitearcadedb.comwww.hawkular.orggithub.com/­hugegraph
hugegraph.apache.org
sphinxsearch.com
Technical documentationdocs.arcadedb.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehugegraph.apache.org/­docssphinxsearch.com/­docs
DeveloperArcade DataCommunity supported by Red HatBaiduSphinx Technologies Inc.
Initial release2021201420182001
Current releaseSeptember 20210.93.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesnoyes infoalso supports composite index and range indexyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language, no joinsnonoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
HTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol
Supported programming languagesJavaGo
Java
Python
Ruby
Groovy
Java
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsno
Triggersyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoUsers, roles and permissionsno

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More resources
ArcadeDBHawkular MetricsHugeGraphSphinx
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