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DBMS > Drizzle vs. H2 vs. LevelDB vs. RisingWave vs. Spark SQL

System Properties Comparison Drizzle vs. H2 vs. LevelDB vs. RisingWave vs. Spark SQL

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonH2  Xexclude from comparisonLevelDB  Xexclude from comparisonRisingWave  Xexclude from comparisonSpark SQL  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.
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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA distributed RDBMS for stream processing, wire-compatible with PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSRelational 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
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.h2database.comgithub.com/­google/­leveldbwww.risingwave.com/­databasespark.apache.org/­sql
Technical documentationwww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.risingwave.com/­docs/­current/­introspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDrizzle project, originally started by Brian AkerThomas MuellerGoogleRisingWave LabsApache Software Foundation
Initial release20082005201120222014
Current release7.2.4, September 20122.2.220, July 20231.23, February 20211.2, September 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSDOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++RustScala
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMIllumos
Linux
OS X
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoStandard SQL-types and JSONyes
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 indexesyesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsnoUDFs in Python or Javano
Triggersno infohooks for callbacks inside the server can be used.yesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneyes, utilizing Spark Core
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 databasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardnoUsers and Rolesno

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More resources
DrizzleH2LevelDBRisingWaveSpark SQL
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