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DBMS > EXASOL vs. FeatureBase vs. HugeGraph vs. InfluxDB vs. Sphinx

System Properties Comparison EXASOL vs. FeatureBase vs. HugeGraph vs. InfluxDB vs. Sphinx

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFeatureBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSGraph DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.exasol.comwww.featurebase.comgithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewsphinxsearch.com
Technical documentationwww.exasol.com/­resourcesdocs.featurebase.comhugegraph.apache.org/­docsdocs.influxdata.com/­influxdbsphinxsearch.com/­docs
DeveloperExasolMolecula and Pilosa Open Source ContributorsBaiduSphinx Technologies Inc.
Initial release20002017201820132001
Current release2022, May 20220.92.7.6, April 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL version 2, commercial licence available
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 languageGoJavaGoC++
Server operating systemsLinux
macOS
Linux
macOS
Unix
Linux
OS X infothrough Homebrew
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Stringsno
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 indexesyesnoyes infoalso supports composite index and range indexnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL queriesnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
Proprietary protocol
Supported programming languagesJava
Lua
Python
R
Java
Python
Groovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlySharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyesyes 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.yesyesyesyes infoDepending on used storage engine
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissionssimple rights management via user accountsno
More information provided by the system vendor
EXASOLFeatureBaseHugeGraphInfluxDBSphinx
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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