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DBMS > GBase vs. GigaSpaces vs. Google Cloud Firestore vs. Microsoft Azure Synapse Analytics vs. NSDb

System Properties Comparison GBase vs. GigaSpaces vs. Google Cloud Firestore vs. Microsoft Azure Synapse Analytics vs. NSDb

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.High 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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitewww.gbase.cnwww.gigaspaces.comfirebase.google.com/­products/­firestoreazure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlfirebase.google.com/­docs/­firestoredocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperGeneral Data Technology Co., Ltd.Gigaspaces TechnologiesGoogleMicrosoft
Initial release20042000201720162017
Current releaseGBase 8a, GBase 8s, GBase 8c15.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava, C++, .NetC++Java, Scala
Server operating systemsLinuxLinux
macOS
Solaris
Windows
hostedhostedLinux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes: int, bigint, decimal, string
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.yesno infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLStandard with numerous extensionsSQL-99 for query and DML statementsnoyesSQL-like query language
APIs and other access methodsADO.NET
C API
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesC#.Net
C++
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsyesyes, Firebase Rules & Cloud FunctionsTransact SQLno
Triggersyesyes, event driven architectureyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesRole-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.yes

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More resources
GBaseGigaSpacesGoogle Cloud FirestoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDb
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