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DBMS > Google Cloud Bigtable vs. Kinetica vs. Microsoft Access vs. Sphinx vs. Trafodion

System Properties Comparison Google Cloud Bigtable vs. Kinetica vs. Microsoft Access vs. Sphinx vs. Trafodion

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Fully vectorized database across both GPUs and CPUsMicrosoft 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.)Open source search engine for searching in data from different sources, e.g. relational databasesTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitecloud.google.com/­bigtablewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.comtrafodion.apache.org
Technical documentationcloud.google.com/­bigtable/­docsdocs.kinetica.comdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docstrafodion.apache.org/­documentation.html
DeveloperGoogleKineticaMicrosoftSphinx Technologies Inc.Apache Software Foundation, originally developed by HP
Initial release20152012199220012014
Current release7.1, August 20211902 (16.0.11328.20222), March 20193.5.1, February 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++C++, Java
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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
Secondary indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)yes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functionsyes infosince Access 2010 using the ACE-enginenoJava Stored Procedures
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003nofine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableKineticaMicrosoft AccessSphinxTrafodion
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