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DBMS > GigaSpaces vs. Google Cloud Firestore vs. HBase vs. Kyligence Enterprise vs. Microsoft Azure Synapse Analytics

System Properties Comparison GigaSpaces vs. Google Cloud Firestore vs. HBase vs. Kyligence Enterprise vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHBase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Wide-column store based on Apache Hadoop and on concepts of BigTableA distributed analytics engine for big data, built on top of Apache KylinElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeWide column storeRelational 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
Score7.36
Rank#53  Overall
#9  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.gigaspaces.comfirebase.google.com/­products/­firestorehbase.apache.orgkyligence.io/­kyligence-enterpriseazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlfirebase.google.com/­docs/­firestorehbase.apache.org/­book.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperGigaspaces TechnologiesGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetKyligence, Inc.Microsoft
Initial release20002017200820162016
Current release15.5, September 20202.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaJavaC++
Server operating systemsLinux
macOS
Solaris
Windows
hostedLinux
Unix
Windows infousing Cygwin
Linuxhosted
Data schemeschema-freeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes
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 metadatanononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnonoANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud Functionsyes infoCoprocessors in JavaTransact SQL
Triggersyes, event driven architectureyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsUsing Cloud Dataflowyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesSingle row ACID (across millions of columns)ACID
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.yesyesno
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes

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More resources
GigaSpacesGoogle Cloud FirestoreHBaseKyligence EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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