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DBMS > Google Cloud Spanner vs. Kinetica vs. LokiJS vs. Microsoft Access vs. Newts

System Properties Comparison Google Cloud Spanner vs. Kinetica vs. LokiJS vs. Microsoft Access vs. Newts

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonKinetica  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Fully vectorized database across both GPUs and CPUsIn-memory JavaScript DBMSMicrosoft 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.)Time Series DBMS based on Cassandra
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitecloud.google.com/­spannerwww.kinetica.comgithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newts
Technical documentationcloud.google.com/­spanner/­docsdocs.kinetica.comtechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wiki
DeveloperGoogleKineticaMicrosoftOpenNMS Group
Initial release20172012201419922014
Current release7.1, August 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaScriptC++Java
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesyesyes infovia viewsyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statementsnoyes infobut not compliant to any SQL standardno
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JavaScript APIADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Source-replica replicationnonenoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnono infoatomic operations within a single collection possibleACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesno
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 levelnono infoa simple user-level security was built in till version Access 2003no

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More resources
Google Cloud SpannerKineticaLokiJSMicrosoft AccessNewts
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