DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > EDB Postgres vs. Microsoft Azure Data Explorer vs. Sphinx vs. Teradata

System Properties Comparison EDB Postgres vs. Microsoft Azure Data Explorer vs. Sphinx vs. Teradata

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options, complemented by tool kits for management, integration, and migration.Fully managed big data interactive analytics platformOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSRelational DBMS infocolumn orientedSearch engineRelational DBMS
Secondary database modelsDocument storeDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.32
Rank#118  Overall
#58  Relational DBMS
Score4.20
Rank#80  Overall
#43  Relational DBMS
Score6.35
Rank#59  Overall
#7  Search engines
Score75.60
Rank#14  Overall
#9  Relational DBMS
Websitewww.enterprisedb.comazure.microsoft.com/­services/­data-explorersphinxsearch.comwww.teradata.com
Technical documentationwww.enterprisedb.com/­edb-docsdocs.microsoft.com/­en-us/­azure/­data-explorersphinxsearch.com/­docsdocs.teradata.com
DeveloperEnterpriseDBMicrosoftSphinx Technologies Inc.Teradata
Initial release2005201920011984
Current releaseV10, November 2017cloud service with continuous releases3.2.1, January 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinux
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Data schemeyesFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnoyes
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.yes infospecific XML-type available, but no XML query functionality.yesyes
Secondary indexesyesall fields are automatically indexedyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infostandard with numerous extensionsKusto Query Language (KQL), SQL subsetSQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Yes, possible languages: KQL, Python, Rnoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAzure Active Directory Authenticationnofine grained access rights according to SQL-standard
More information provided by the system vendor
EDB PostgresMicrosoft Azure Data ExplorerSphinxTeradata
Specific characteristicsPostgreSQL with added Security, Performance, DBA, Developer, and Oracle compatibile...
» more
Azure Data Explorer is a fast and highly scalable data exploration service for log...
» more
Competitive advantagesComplete Postgres platform with enterprise-class Postgres, Management, Integration,...
» more
Kusto Query Language (innovative query language, optimized for high performance data...
» more
Typical application scenariosNew applications for transactional, reporting and mixed workloads that need to integrate...
» more
IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» more
Key customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, B├╝hler, Ecolab, Zoomd
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» more
Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» more
Licensing and pricing modelsOpen Source and Commercial core based licensing.
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EDB PostgresMicrosoft Azure Data ExplorerSphinxTeradata
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Recent citations in the news

EDB Drives Further Postgres Innovation with Release of EDB 13
17 November 2020, RealWire

EnterpriseDB Rebrands to EDB; Continues to Lead in the PostgreSQL Movement
23 June 2020, Business Wire

EDB Growth Accelerates With 65 Percent Increase in Subscription Revenue; 4300 Registrations for Postgres Vision
31 July 2020, Business Wire

Swarm64 DA 5.0 Brings HTAP to the Open Source PostgreSQL Database
2 November 2020, AiThority

Exadel Releases CompreFace Open Source Facial Recognition Application
17 November 2020, DevOps.com

provided by Google News

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14 October 2020, ZDNet

AMD Boosts Microsoft Azure Data Explorer Performance
16 October 2020, SDxCentral

Azure Data Explorer gets Synapse integration and other enhancements
15 October 2020, EnterpriseTalk

AMD EPYC Processors Power Microsoft Azure Data Explorer, Offers Users 30 Percent Better Performance
15 October 2020, HPCwire

AMD releases Azure Data Explorer PaaS solution
19 October 2020, IT Brief Australia

provided by Google News

How to Build 600+ Links in One Month
4 September 2020, Search Engine Journal

6 Top & Best Open source Search Engine Software for Enterprises
17 June 2019, H2S Media

The Pirate Bay was recently down for over a week due to a DDoS attack
29 October 2019, Internet

eCommerce Search & Personalization
6 May 2018, SitePoint

Coronavirus-themed spam surged 14,000% in two weeks says IBM
30 March 2020, TechRepublic

provided by Google News

Teradata Stock Has More Than 20% Upside
30 October 2020, Forbes

Teradata Corporation (TDC) Rises 3.69% for November 26
26 November 2020, Equities.com

Teradata (TDC) Expands Analytics Portfolio, Launches DataDNA
17 November 2020, Yahoo Finance

Teradata Corp (TDC) Q3 2020 Earnings Call Transcript
6 November 2020, Motley Fool

Parallelising with TERADATA - The right way
19 November 2020, Finextra

provided by Google News

Job opportunities

Senior PostgreSQL Application DBA
eSystems Inc., Linthicum, MD

Senior Applications DBA
Web Synergies, Maryland

Java Full-stack Developer
Guidehouse, Washington, DC

Cloud Security Architect
Booz Allen Hamilton, Washington, DC

Account Executive | West Coast | Remote
EDB, United States

Data Engineer
Intone Networks, Tempe, AZ

Data Engineer - Minecraft
Microsoft, Redmond, WA

Senior Data Engineer
PK, Portland, OR

Data Engineer
Disys India Private Limited, United States

Data Architect, ACL/ OIRM
BCT Partners, Washington, DC

Accounts Receivable & Collections Specialist
Teradata, Atlanta, GA

Communications, Engagement & Change Management Partner
Teradata, San Diego, CA

Pricing & Packaging Specialist
Teradata, San Francisco, CA

Market Analyst
Teradata, San Diego, CA

Intern - Ecosystem Core Services
Teradata, San Diego, CA

jobs by Indeed




Share this page

Featured Products

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database Machine Learning. Try Vertica for free with no time limit.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here