DBMS > Snowflake vs. Splice Machine
System Properties Comparison Snowflake vs. Splice Machine
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Snowflake Xexclude from comparison||Splice Machine Xexclude from comparison|
|Description||Cloud-based data warehousing service for structured and semi-structured data||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||Snowflake Computing Inc.||Splice Machine|
|Current release||3.1, March 2021|
|License Commercial or Open Source||commercial||Open Source AGPL 3.0, commercial license available|
|Cloud-based only Only available as a cloud service||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||hosted||Linux|
|Data scheme||yes support of semi-structured data formats (JSON, XML, Avro)||yes|
|Typing predefined data types such as float or date||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes|
|SQL Support of SQL||yes||yes|
|APIs and other access methods||CLI Client|
Native Spark Datasource
|Server-side scripts Stored procedures||user defined functions||yes Java|
|Triggers||no similar concept for controling cloud resources||yes|
|Partitioning methods Methods for storing different data on different nodes||yes||Shared Nothhing Auto-Sharding, Columnar Partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||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||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.||no||yes|
|User concepts Access control||Users with fine-grained authorization concept, user roles and pluggable authentication||Access rights for users, groups and roles according to SQL-standard|
|More information provided by the system vendor|
Whose Job Is It Anyway?
How Optimizing MLOps Can Revolutionize Enterprise AI
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.|
SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
CData: Connect to Big Data & NoSQL through standard Drivers.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news|
Snowflake launches Financial Services Data Cloud, touts big customer wins
Snowflake helps financial services organizations leverage data to drive business growth
Up 70% From May Lows, Is Snowflake Stock Still Attractive?
How Snowflake Is Capitalizing on a Blizzard of Data
Alation unveils Data Governance App and deepens partnership with Snowflake
provided by Google News
Machine learning data pipeline outfit Splice Machine files for insolvency
Big Data Analytics in Banking Market Overview, Based on Current Opportunities, Growth Size, Regional
provided by Google News
PRINCIPAL DATABASE ADMINISTRATOR
Database Administrator 2
Share this page