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DBMS > AlaSQL vs. Apache IoTDB vs. GigaSpaces vs. Interbase vs. Kyligence Enterprise

System Properties Comparison AlaSQL vs. Apache IoTDB vs. GigaSpaces vs. Interbase vs. Kyligence Enterprise

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache IoTDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInterbase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHigh 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 distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelDocument store
Relational DBMS
Time Series DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Websitealasql.orgiotdb.apache.orgwww.gigaspaces.comwww.embarcadero.com/­products/­interbasekyligence.io/­kyligence-enterprise
Technical documentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.embarcadero.com/­products/­interbase
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationGigaspaces TechnologiesEmbarcaderoKyligence, Inc.
Initial release20142018200019842016
Current release1.1.0, April 202315.5, September 2020InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialcommercial
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 languageJavaScriptJavaJava, C++, .NetCJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VM (>= 1.8)Linux
macOS
Solaris
Windows
Android
iOS
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono infoXML can be used for describing objects metadatano infoexport as XML data possibleno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageSQL-99 for query and DML statementsyesANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJavaScript APIJDBC
Native API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaScriptC
C#
C++
Go
Java
Python
Scala
.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Server-side scripts infoStored proceduresnoyesyesyes infoInterbase procedure and trigger language
Triggersyesyesyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Interbase Change Views
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkyes infoMap-Reduce pattern can be built with XAP task executorsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Strong Consistency with Raft
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlnoyesRole-based access controlfine grained access rights according to SQL-standard

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More resources
AlaSQLApache IoTDBGigaSpacesInterbaseKyligence Enterprise
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