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DBMS > AlaSQL vs. GridGain vs. HugeGraph vs. Solr

System Properties Comparison AlaSQL vs. GridGain vs. HugeGraph vs. Solr

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionJavaScript DBMS libraryGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Graph DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitealasql.orgwww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
solr.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlwww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docssolr.apache.org/­resources.html
DeveloperAndrey Gershun & Mathias R. WulffGridGain Systems, Inc.BaiduApache Software Foundation
Initial release2014200720182006
Current releaseGridGain 8.5.10.99.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJava, C++, .NetJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Linux
macOS
Unix
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyes infosupports customizable data types and automatic typing
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.noyesnoyes
Secondary indexesnoyesyes infoalso supports composite index and range indexyes infoAll search fields are automatically indexed
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.ANSI-99 for query and DML statements, subset of DDLnoSolr Parallel SQL Interface
APIs and other access methodsJavaScript APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaScriptC#
C++
Java
PHP
Python
Ruby
Scala
Groovy
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 proceduresnoyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsJava plugins
Triggersyesyes (cache interceptors and events)noyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)via hugegraph-sparkspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsUsers, roles and permissionsyes

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More resources
AlaSQLGridGainHugeGraphSolr
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