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DBMS > Drizzle vs. H2 vs. Hyprcubd vs. LevelDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Drizzle vs. H2 vs. Hyprcubd vs. LevelDB vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonH2  Xexclude from comparisonHyprcubd  Xexclude from comparisonLevelDB  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.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Serverless Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.h2database.comhyprcubd.com (offline)github.com/­google/­leveldbazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­azure/­synapse-analytics
DeveloperDrizzle project, originally started by Brian AkerThomas MuellerHyprcubd, Inc.GoogleMicrosoft
Initial release2008200520112016
Current release7.2.4, September 20122.2.220, July 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoC++C++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMhostedIllumos
Linux
OS X
Windows
hosted
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringnoyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like query languagenoyes
APIs and other access methodsJDBCJDBC
ODBC
gRPC (https)ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
PHP
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsnonoTransact SQL
Triggersno infohooks for callbacks inside the server can be used.yesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databasenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono 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 dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)noyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardtoken accessnoyes

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More resources
DrizzleH2HyprcubdLevelDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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