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DBMS > Apache Phoenix vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. Transbase

System Properties Comparison Apache Phoenix vs. IBM Db2 warehouse vs. Microsoft Azure Synapse Analytics vs. RavenDB vs. Transbase

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseCloud-based data warehousing serviceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
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
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitephoenix.apache.orgwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­services/­synapse-analyticsravendb.netwww.transaction.de/­en/­products/­transbase.html
Technical documentationphoenix.apache.orgdocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationIBMMicrosoftHibernating RhinosTransaction Software GmbH
Initial release20142014201620101987
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.4, July 2022Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoAGPL version 3, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#C and C++
Server operating systemsLinux
Unix
Windows
hostedhostedLinux
macOS
Raspberry Pi
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infoImport/export of XML data possiblenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyesSQL-like query language (RQL)yes
APIs and other access methodsJDBC.NET Client API
JDBC
ODBC
OLE DB
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
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsPL/SQL, SQL PLTransact SQLyesyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction availableyes
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.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardyesAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
Apache PhoenixIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDBTransbase
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