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DBMS > Google Cloud Spanner vs. HarperDB vs. Hazelcast vs. Trafodion

System Properties Comparison Google Cloud Spanner vs. HarperDB vs. Hazelcast vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHarperDB  Xexclude from comparisonHazelcast  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A widely adopted in-memory data gridTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitecloud.google.com/­spannerwww.harperdb.iohazelcast.comtrafodion.apache.org
Technical documentationcloud.google.com/­spanner/­docsdocs.harperdb.io/­docshazelcast.org/­imdg/­docstrafodion.apache.org/­documentation.html
DeveloperGoogleHarperDBHazelcastApache Software Foundation, originally developed by HP
Initial release2017201720082014
Current release3.1, August 20215.3.6, November 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaC++, Java
Server operating systemshostedLinux
OS X
All OS with a Java VMLinux
Data schemeyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like data manipulation statementsSQL-like query languageyes
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
React Hooks
RESTful HTTP/JSON API
WebSocket
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yes infoEvent Listeners, Executor ServicesJava Stored Procedures
Triggersnonoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.yes infothe nodes on which a table resides can be definedyes infoReplicated Mapyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesRole-based access controlfine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerHarperDBHazelcastTrafodion
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