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DBMS > Dolt vs. Google Cloud Spanner vs. Hazelcast vs. Postgres-XL

System Properties Comparison Dolt vs. Google Cloud Spanner vs. Hazelcast vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHazelcast  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA 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 gridBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
cloud.google.com/­spannerhazelcast.comwww.postgres-xl.org
Technical documentationdocs.dolthub.comcloud.google.com/­spanner/­docshazelcast.org/­imdg/­docswww.postgres-xl.org/­documentation
DeveloperDoltHub IncGoogleHazelcast
Initial release2018201720082014 infosince 2012, originally named StormDB
Current release5.3.6, November 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC
Server operating systemsLinux
macOS
Windows
hostedAll OS with a Java VMLinux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 strategyyes infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011SQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsCLI Client
HTTP REST
gRPC (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
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes infoEvent Listeners, Executor Servicesuser defined functions
Triggersyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication with 3 replicas for regional instances.yes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationone or two-phase-commit; repeatable reads; read commitedACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupAccess 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-standard

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More resources
DoltGoogle Cloud SpannerHazelcastPostgres-XL
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