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DBMS > Google Cloud Spanner vs. Hazelcast vs. PostgreSQL vs. RavenDB vs. TimesTen

System Properties Comparison Google Cloud Spanner vs. Hazelcast vs. PostgreSQL vs. RavenDB vs. TimesTen

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHazelcast  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRavenDB  Xexclude from comparisonTimesTen  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.A widely adopted in-memory data gridWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSKey-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitecloud.google.com/­spannerhazelcast.comwww.postgresql.orgravendb.netwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­spanner/­docshazelcast.org/­imdg/­docswww.postgresql.org/­docsravendb.net/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleHazelcastPostgreSQL Global Development Group infowww.postgresql.org/­developerHibernating RhinosOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201720081989 info1989: Postgres, 1996: PostgreSQL20101998
Current release5.3.6, November 202316.3, May 20245.4, July 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#
Server operating systemshostedAll OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infothe object must implement a serialization strategyyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query languageyes infostandard with numerous extensionsSQL-like query language (RQL)yes
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
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesPL/SQL
Triggersnoyes infoEventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes infoReplicated MapSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationone or two-phase-commit; repeatable reads; read commitedACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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Google Cloud SpannerHazelcastPostgreSQLRavenDBTimesTen
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