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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHeroic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonTDSQL for MySQL  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchData warehouse and analytics appliance part of IBM PureSystemsTime 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 modelRelational DBMSTime Series DBMSRelational 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#105  Overall
#53  Relational DBMS
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score0.82
Rank#213  Overall
#97  Relational DBMS
Websitecloud.google.com/­spannergithub.com/­spotify/­heroicwww.ibm.com/­products/­netezzaopennms.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
DeveloperGoogleSpotifyIBMOpenNMS GroupTencent
Initial release20172014200020142013
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinux infoincluded in applianceLinux
OS X
Windows
hosted
Data schemeyesschema-freeyesschema-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 indexesyesyes infovia Elasticsearchyesnoyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyesnoyes
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
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
OLE DB
HTTP REST
Java API
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesnoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on CassandraAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yesSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDnoACID
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 controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization conceptnoUsers with fine-grained authorization concept

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More resources
Google Cloud SpannerHeroicNetezza infoAlso called PureData System for Analytics by IBMNewtsTDSQL for MySQL
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