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DBMS > Drizzle vs. JanusGraph vs. Microsoft Azure Synapse Analytics vs. RavenDB

System Properties Comparison Drizzle vs. JanusGraph vs. Microsoft Azure Synapse Analytics vs. RavenDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSGraph DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitejanusgraph.orgazure.microsoft.com/­services/­synapse-analyticsravendb.net
Technical documentationdocs.janusgraph.orgdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docs
DeveloperDrizzle project, originally started by Brian AkerLinux Foundation; originally developed as Titan by AureliusMicrosoftHibernating Rhinos
Initial release2008201720162010
Current release7.2.4, September 20120.6.3, February 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C#
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Unix
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesSQL-like query language (RQL)
APIs and other access methodsJDBCJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
Clojure
Java
Python
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesTransact SQLyes
Triggersno infohooks for callbacks inside the server can be used.yesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUser authentification and security via Rexster Graph ServeryesAuthorization levels configured per client per database

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More resources
DrizzleJanusGraph infosuccessor of TitanMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDB
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