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DBMS > FatDB vs. Google Cloud Spanner vs. Heroic vs. Newts vs. TDSQL for MySQL

System Properties Comparison FatDB vs. Google Cloud Spanner vs. Heroic vs. Newts vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHeroic  Xexclude from comparisonNewts  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A 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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchTime Series DBMS based on CassandraA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitecloud.google.com/­spannergithub.com/­spotify/­heroicopennms.github.io/­newtswww.tencentcloud.com/­products/­dcdb
Technical documentationcloud.google.com/­spanner/­docsspotify.github.io/­heroicgithub.com/­OpenNMS/­newts/­wikiwww.tencentcloud.com/­document/­product/­1042
DeveloperFatCloudGoogleSpotifyOpenNMS GroupTencent
Initial release20122017201420142013
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaJava
Server operating systemsWindowshostedLinux
OS X
Windows
hosted
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 Elasticsearchnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryes infoQuery statements complying to ANSI 2011nonoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP REST
Java API
JDBC
ODBC
Supported programming languagesC#Go
Java
JavaScript (Node.js)
Python
JavaC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsnononoyes
Triggersyes infovia applicationsnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on CassandraAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication with 3 replicas for regional instances.yesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationnonoACID
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.nononono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept

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More resources
FatDBGoogle Cloud SpannerHeroicNewtsTDSQL for MySQL
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