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DBMS > Drizzle vs. Microsoft Azure Cosmos DB vs. Splice Machine

System Properties Comparison Drizzle vs. Microsoft Azure Cosmos DB vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSplice 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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Globally distributed, horizontally scalable, multi-model database serviceOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbsplicemachine.com
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbsplicemachine.com/­how-it-works
DeveloperDrizzle project, originally started by Brian AkerMicrosoftSplice Machine
Initial release200820142014
Current release7.2.4, September 20123.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query languageyes
APIs and other access methodsJDBCDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJavaScriptyes infoJava
Triggersno infohooks for callbacks inside the server can be used.JavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*Yes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard

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More resources
DrizzleMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSplice Machine
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