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DBMS > Apache Phoenix vs. Blazegraph vs. GridGain vs. Microsoft Azure Synapse Analytics vs. RavenDB

System Properties Comparison Apache Phoenix vs. Blazegraph vs. GridGain vs. Microsoft Azure Synapse Analytics vs. RavenDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.GridGain is an in-memory computing platform, built on Apache IgniteElastic, 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 DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitephoenix.apache.orgblazegraph.comwww.gridgain.comazure.microsoft.com/­services/­synapse-analyticsravendb.net
Technical documentationphoenix.apache.orgwiki.blazegraph.comwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docs
DeveloperApache Software FoundationBlazegraphGridGain Systems, Inc.MicrosoftHibernating Rhinos
Initial release20142006200720162010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 2019GridGain 8.5.15.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availablecommercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava, C++, .NetC++C#
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesno
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.noyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLyesSQL-like query language (RQL)
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesyes (compute grid and cache interceptors can be used instead)Transact SQLyes
Triggersnonoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes (replicated cache)yesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate 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 integritynoyes infoRelationships in Graphsnono 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 dataACIDACIDACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancySecurity and Authentication via Web Application Container (Tomcat, Jetty)Security Hooks for custom implementationsyesAuthorization levels configured per client per database

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More resources
Apache PhoenixBlazegraphGridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDB
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