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DBMS > GBase vs. Google Cloud Bigtable vs. Microsoft Azure Synapse Analytics vs. Sphinx

System Properties Comparison GBase vs. Google Cloud Bigtable vs. Microsoft Azure Synapse Analytics vs. Sphinx

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.gbase.cncloud.google.com/­bigtableazure.microsoft.com/­services/­synapse-analyticssphinxsearch.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.microsoft.com/­azure/­synapse-analyticssphinxsearch.com/­docs
DeveloperGeneral Data Technology Co., Ltd.GoogleMicrosoftSphinx Technologies Inc.
Initial release2004201520162001
Current releaseGBase 8a, GBase 8s, GBase 8c3.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++C++
Server operating systemsLinuxhostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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.yesnono
Secondary indexesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLStandard with numerous extensionsnoyesSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnoTransact SQLno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding, horizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesno

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More resources
GBaseGoogle Cloud BigtableMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSphinx
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