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DBMS > Apache Phoenix vs. Postgres-XL vs. Stardog vs. TDSQL for MySQL vs. Vertica

System Properties Comparison Apache Phoenix vs. Postgres-XL vs. Stardog vs. TDSQL for MySQL vs. Vertica

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStardog  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial 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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitephoenix.apache.orgwww.postgres-xl.orgwww.stardog.comwww.tencentcloud.com/­products/­dcdbwww.vertica.com
Technical documentationphoenix.apache.orgwww.postgres-xl.org/­documentationdocs.stardog.comwww.tencentcloud.com/­document/­product/­1042vertica.com/­documentation
DeveloperApache Software FoundationStardog-UnionTencentOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20142014 infosince 2012, originally named StormDB201020132005
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910 R1, October 20187.3.0, May 202012.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla public licensecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononoyesno infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC++
Server operating systemsLinux
Unix
Windows
Linux
macOS
Linux
macOS
Windows
hostedLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free and OWL/RDFS-schema supportyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infoXML type, but no XML query functionalityno infoImport/export of XML data possiblenono
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesyes infodistributed, parallel query executionYes, compatible with all major SQL variants through dedicated BI/SQL ServeryesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C#
C++
Java
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Javayesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyes infovia event handlersyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneAutomatic shardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication in HA-ClusterMulti-source replication
Source-replica replication
Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDACIDACID
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.yesnoyesnono
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-standardAccess rights for users and rolesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache PhoenixPostgres-XLStardogTDSQL for MySQLVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
Apache PhoenixPostgres-XLStardogTDSQL for MySQLVertica infoOpenText™ Vertica™
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