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DBMS > AlaSQL vs. Google Cloud Datastore vs. H2 vs. HBase

System Properties Comparison AlaSQL vs. Google Cloud Datastore vs. H2 vs. HBase

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionJavaScript DBMS libraryAutomatically 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.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Websitealasql.orgcloud.google.com/­datastorewww.h2database.comhbase.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmlhbase.apache.org/­book.html
DeveloperAndrey Gershun & Mathias R. WulffGoogleThomas MuellerApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2014200820052008
Current release2.2.220, July 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeschema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or datenoyes, details hereyesoptions to bring your own types, AVRO
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 indexesnoyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query language (GQL)yesno
APIs and other access methodsJavaScript APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnousing Google App EngineJava Stored Procedures and User-Defined Functionsyes infoCoprocessors in Java
TriggersyesCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using PaxosWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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 or Eventual Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
AlaSQLGoogle Cloud DatastoreH2HBase
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