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DBMS > Google Cloud Datastore vs. H2 vs. HarperDB vs. Speedb

System Properties Comparison Google Cloud Datastore vs. H2 vs. HarperDB vs. Speedb

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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.An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelDocument storeRelational DBMSDocument storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.21
Rank#315  Overall
#45  Key-value stores
Websitecloud.google.com/­datastorewww.h2database.comwww.harperdb.iowww.speedb.io
Technical documentationcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmldocs.harperdb.io/­docs
DeveloperGoogleThomas MuellerHarperDBSpeedb
Initial release2008200520172020
Current release2.2.220, July 20233.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availableOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsC++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Linux
Windows
Data schemeschema-freeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyes, details hereyesyes infoJSON data typesno
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesSQL-like data manipulation statementsno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.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
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresusing Google App EngineJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1no
TriggersCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDAtomic execution of specific operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
Google Cloud DatastoreH2HarperDBSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
Google Cloud DatastoreH2HarperDBSpeedb
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