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DBMS > AllegroGraph vs. EXASOL vs. Snowflake vs. TerarkDB

System Properties Comparison AllegroGraph vs. EXASOL vs. Snowflake vs. TerarkDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonEXASOL  Xexclude from comparisonSnowflake  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Cloud-based data warehousing service for structured and semi-structured dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#170  Overall
#26  Document stores
#14  Graph DBMS
#7  RDF stores
Score3.40
Rank#88  Overall
#45  Relational DBMS
Score2.59
Rank#107  Overall
#53  Relational DBMS
Score0.07
Rank#313  Overall
#53  Key-value stores
Websiteallegrograph.comwww.exasol.com/­en/­productswww.snowflake.comgithub.com/­Terark/­terarkdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.exasol.com/­en/­community/­resourcesdocs.snowflake.net/­manuals/­index.htmlgithub.com/­Terark/­terarkdb/­wiki
DeveloperFranz Inc.ExasolSnowflake Computing Inc.Terark
Initial release2004200020142016
Current release7.0.0, April 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyes infoRDF schemasyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.no infobulk load of XML files possiblenoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyesyesno
APIs and other access methodsRESTful HTTP API
SPARQL
.Net
JDBC
ODBC
WebSocket
CLI Client
JDBC
ODBC
C++ API
Java API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
Lua
Python
R
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsuser defined functionsno
Triggersyesyesno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
AllegroGraphEXASOLSnowflakeTerarkDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

Bloor Research Covers AllegroGraph with FedShard
5 June 2020

AllegroGraph Tutorial – Distributed Repository Using Shards and Federation Setup
25 May 2020

Advanced Knowledge Graph Visualization with New Gruff v8
12 May 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphEXASOLSnowflakeTerarkDB
Recent citations in the news

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Franz AllegroGraph 7 Provides Distributed Semantic Knowledge Graph Solution with Federated-Sharding
29 April 2020, Database Trends and Applications

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23 July 2020, Business Wire

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28 July 2020, PRNewswire

Exasol Appoints Rishi Diwan As Chief Product Officer
30 July 2020, Business Wire

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10 August 2020, News by aeresearch

CTO Talk: Q&A with Exasol's Mathias Golombek
30 July 2020, Verdict

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Five questions investors are asking about Snowflake's IPO
2 August 2020, SiliconANGLE

The 4 Best Snowflake Courses and Online Training for 2020
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Zero Outage DWH Deployments. Snowflake comes to the rescue and our… | by Leon Botha | Servian | Jul, 2020
7 August 2020, idk.dev

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21 July 2020, Built In Chicago

Rockset updates real-time indexing cloud database
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ByteDance eyes big data push with Terark acquisition EJINSIGHT
30 April 2019, EJ Insight

A Chinese company is making the cloud 200x faster
3 July 2017, TechNode

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

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