DBMS > Drizzle vs. Splice Machine
System Properties Comparison Drizzle vs. Splice Machine
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Drizzle Xexclude from comparison||Splice Machine 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.|
|Description||MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.||Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark|
|Primary database model||Relational DBMS||Relational DBMS|
|Developer||Drizzle project, originally started by Brian Aker||Splice Machine|
|Current release||7.2.4, September 2012||3.1, March 2021|
|License Commercial or Open Source||Open Source GNU GPL||Open Source AGPL 3.0, commercial license available|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||yes||yes|
|SQL Support of SQL||yes with proprietary extensions||yes|
|APIs and other access methods||JDBC||JDBC|
Native Spark Datasource
|Supported programming languages||C|
|Server-side scripts Stored procedures||no||yes Java|
|Triggers||no hooks for callbacks inside the server can be used.||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Shared Nothhing Auto-Sharding, Columnar Partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||Yes, via Full Spark Integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes, multi-version concurrency control (MVCC)|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Pluggable authentication mechanisms e.g. LDAP, HTTP||Access rights for users, groups and roles according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
MySQL won the April ranking; did its forks follow?
|Recent citations in the news|
Machine learning data pipeline outfit Splice Machine files for insolvency
Splice Machine Launches the Splice Machine Feature Store to ...
Gartner: Top Machine Learning Trends for 2023
The Convergence of AI and Data Modernization
Splice Machine Launches Feature Store to Simplify Feature ...
provided by Google News
Hadoop Developer / Admin Jr
Share this page