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DBMS > Apache Druid vs. GigaSpaces vs. Realm vs. SpatiaLite vs. STSdb

System Properties Comparison Apache Druid vs. GigaSpaces vs. Realm vs. SpatiaLite vs. STSdb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRealm  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpatial extension of SQLiteKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS
Time Series DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Document storeSpatial DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.70
Rank#98  Overall
#50  Relational DBMS
#7  Time Series DBMS
Score0.94
Rank#194  Overall
#33  Document stores
#7  Object oriented DBMS
Score7.05
Rank#49  Overall
#8  Document stores
Score1.50
Rank#144  Overall
#3  Spatial DBMS
Score0.03
Rank#362  Overall
#55  Key-value stores
Websitedruid.apache.orgwww.gigaspaces.comrealm.iowww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­STSSoft/­STSdb4
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.gigaspaces.com/­latest/­landing.htmlrealm.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation and contributorsGigaspaces TechnologiesRealm, acquired by MongoDB in May 2019Alessandro FurieriSTS Soft SC
Initial release20122000201420082011
Current release30.0.0, June 202415.5, September 20205.0.0, August 20204.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++C#
Server operating systemsLinux
OS X
Unix
Linux
macOS
Solaris
Windows
Android
Backend: server-less
iOS
Windows
server-lessWindows
Data schemeyes infoschema-less columns are supportedschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL for queryingSQL-99 for query and DML statementsnoyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C++
Java
Python
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
Java
Server-side scripts infoStored proceduresnoyesno inforuns within the applications so server-side scripts are unnecessarynono
Triggersnoyes, event driven architectureyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
nonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes infoIn-Memory realmyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlyesnono

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Apache DruidGigaSpacesRealmSpatiaLiteSTSdb
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