DBMS > Datomic vs. ScyllaDB vs. Splice Machine
System Properties Comparison Datomic vs. ScyllaDB vs. Splice Machine
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|Editorial information provided by DB-Engines|
|Name||Datomic Xexclude from comparison||ScyllaDB Xexclude from comparison||Splice Machine Xexclude from comparison|
|Description||Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability||Cassandra and DynamoDB compatible wide column store||Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark|
|Primary database model||Relational DBMS||Wide column store||Relational DBMS|
|Secondary database models||Key-value store|
|Current release||1.0.6735, June 2023||ScyllaDB Open Source 5.0, July 2022||3.1, March 2021|
|License Commercial or Open Source||commercial limited edition free||Open Source Open Source (AGPL), commercial license available||Open Source AGPL 3.0, commercial license available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS|
|Implementation language||Java, Clojure||C++||Java|
|Server operating systems||All OS with a Java VM||Linux||Linux|
|Typing predefined data types such as float or date||yes||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.||no||no|
|Secondary indexes||yes||yes cluster global secondary indices||yes|
|SQL Support of SQL||no||SQL-like DML and DDL statements (CQL)||yes|
|APIs and other access methods||RESTful HTTP API||Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language)|
RESTful HTTP API (DynamoDB compatible)
Native Spark Datasource
|Supported programming languages||Clojure|
|Server-side scripts Stored procedures||yes Transaction Functions||yes, Lua||yes Java|
|Triggers||By using transaction functions||no||yes|
|Partitioning methods Methods for storing different data on different nodes||none But extensive use of caching in the application peers||Sharding||Shared Nothhing Auto-Sharding, Columnar Partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||none But extensive use of caching in the application peers||selectable replication factor Representation of geographical distribution of servers is possible||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||Yes, via Full Spark Integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
Tunable Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no Atomicity and isolation are supported for single operations||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes, multi-version concurrency control (MVCC)|
|Durability Support for making data persistent||yes using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes recommended only for testing and development||yes in-memory tables||yes|
|User concepts Access control||no||Access rights for users can be defined per object||Access rights for users, groups and roles according to SQL-standard|
|More information provided by the system vendor|
|Specific characteristics||ScyllaDB is the database for data-intensive apps that require high performance and...|
|Competitive advantages||Highly-performant (efficiently utilizes full resources of a node and network; millions...|
|Typical application scenarios||ScyllaDB is ideal for applications that require high throughput and low latency at...|
|Key customers||Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...|
|Market metrics||ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...|
|Licensing and pricing models||ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...|
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