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DBMS > Axibase vs. EsgynDB vs. HugeGraph vs. Solr vs. Warp 10

System Properties Comparison Axibase vs. EsgynDB vs. HugeGraph vs. Solr vs. Warp 10

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonSolr  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fast-speed and highly-scalable Graph DBMSA widely used distributed, scalable search engine based on Apache LuceneTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSRelational DBMSGraph DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.esgyn.cngithub.com/­hugegraph
hugegraph.apache.org
solr.apache.orgwww.warp10.io
Technical documentationhugegraph.apache.org/­docssolr.apache.org/­resources.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperAxibase CorporationEsgynBaiduApache Software FoundationSenX
Initial release20132015201820062015
Current release155850.99.6.1, May 2024
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache License 2.0
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 languageJavaC++, JavaJavaJavaJava
Server operating systemsLinuxLinuxLinux
macOS
Unix
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes infosupports customizable data types and automatic typingyes
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.nononoyesno
Secondary indexesnoyesyes infoalso supports composite index and range indexyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languageyesnoSolr Parallel SQL Interfaceno
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
PHP
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesJava Stored Proceduresasynchronous Gremlin script jobsJava pluginsyes infoWarpScript
Triggersyesnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersyes infodepending on used storage backend, e.g. Cassandra and HBaseyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesvia hugegraph-sparkspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic lockingno
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AxibaseEsgynDBHugeGraphSolrWarp 10
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