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DBMS > AlaSQL vs. Brytlyt vs. Drizzle vs. Fujitsu Enterprise Postgres vs. H2

System Properties Comparison AlaSQL vs. Brytlyt vs. Drizzle vs. Fujitsu Enterprise Postgres vs. H2

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonH2  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitealasql.orgbrytlyt.iowww.postgresql.fastware.comwww.h2database.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.brytlyt.iowww.postgresql.fastware.com/­product-manualswww.h2database.com/­html/­main.html
DeveloperAndrey Gershun & Mathias R. WulffBrytlytDrizzle project, originally started by Brian AkerPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThomas Mueller
Initial release2014201620082005
Current release5.0, August 20237.2.4, September 2012Fujitsu Enterprise Postgres 14, January 20222.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU GPLcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC, C++ and CUDAC++CJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Windows
All OS with a Java VM
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyes infowith proprietary extensionsyesyes
APIs and other access methodsJavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesJavaScript.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnouser defined functionsJava Stored Procedures and User-Defined Functions
Triggersyesyesno infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingpartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AlaSQLBrytlytDrizzleFujitsu Enterprise PostgresH2
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
AlaSQLBrytlytDrizzleFujitsu Enterprise PostgresH2
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