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

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

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBlazegraph  Xexclude from comparisonCoveo  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.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentElastic, 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
Search engineRelational 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
Score2.11
Rank#118  Overall
#11  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitephoenix.apache.orgblazegraph.comwww.coveo.comazure.microsoft.com/­services/­synapse-analyticsravendb.net
Technical documentationphoenix.apache.orgwiki.blazegraph.comdocs.coveo.comdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docs
DeveloperApache Software FoundationBlazegraphCoveoMicrosoftHibernating Rhinos
Initial release20142006201220162010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.1.5, March 20195.4, 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 servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C#
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
hostedhostedLinux
macOS
Raspberry Pi
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-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.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSPARQL is used as query languagenoyesSQL-like query language (RQL)
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIADO.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#
Java
JavaScript
Python
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesnoTransact SQLyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononoyes
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 Graphsyesno 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 dataACIDACIDyesACIDACID, 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.yes
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)granular access controls, API key management, content filtersyesAuthorization levels configured per client per database

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