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DBMS > GigaSpaces vs. Interbase vs. LeanXcale vs. Lovefield vs. Microsoft Access

System Properties Comparison GigaSpaces vs. Interbase vs. LeanXcale vs. Lovefield vs. Microsoft Access

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonInterbase  Xexclude from comparisonLeanXcale  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsLight-weight proven RDBMS infooriginally from BorlandA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesEmbeddable relational database for web apps written in pure JavaScriptMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitewww.gigaspaces.comwww.embarcadero.com/­products/­interbasewww.leanxcale.comgoogle.github.io/­lovefieldwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.embarcadero.com/­products/­interbasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddeveloper.microsoft.com/­en-us/­access
DeveloperGigaspaces TechnologiesEmbarcaderoLeanXcaleGoogleMicrosoft
Initial release20001984201520141992
Current release15.5, September 2020InterBase 2020, December 20192.1.12, February 20171902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
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 languageJava, C++, .NetCJavaScriptC++
Server operating systemsLinux
macOS
Solaris
Windows
Android
iOS
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infoXML can be used for describing objects metadatano infoexport as XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyesyes infothrough Apache DerbySQL-like query language infovia JavaScript builder patternyes infobut not compliant to any SQL standard
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
Java
Scala
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languagenoyes infosince Access 2010 using the ACE-engine
Triggersyes, event driven architectureyesUsing read-only observersyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Interbase Change Viewsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing MemoryDB
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003

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More resources
GigaSpacesInterbaseLeanXcaleLovefieldMicrosoft Access
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