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DBMS > 4D vs. Drizzle vs. Faircom DB vs. H2 vs. Microsoft Azure Synapse Analytics

System Properties Comparison 4D vs. Drizzle vs. Faircom DB vs. H2 vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDrizzle  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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.
DescriptionApplication development environment with integrated database management systemMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.4d.comwww.faircom.com/­products/­faircom-dbwww.h2database.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdeveloper.4d.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.h2database.com/­html/­main.htmldocs.microsoft.com/­azure/­synapse-analytics
Developer4D, IncDrizzle project, originally started by Brian AkerFairCom CorporationThomas MuellerMicrosoft
Initial release19842008197920052016
Current releasev20, April 20237.2.4, September 2012V12, November 20202.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++JavaC++
Server operating systemsOS X
Windows
FreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VMhosted
Data schemeyesyesschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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.yesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infowith proprietary extensionsyes, ANSI SQL with proprietary extensionsyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBCADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C
C++
Java
PHP
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
JavaC#
Java
PHP
Server-side scripts infoStored proceduresyesnoyes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined FunctionsTransact SQL
Triggersyesno infohooks for callbacks inside the server can be used.yesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).With clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDtunable from ACID to Eventually ConsistentACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsPluggable authentication mechanisms infoe.g. LDAP, HTTPFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardyes

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More resources
4D infoformer name: 4th DimensionDrizzleFaircom DB infoformerly c-treeACEH2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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