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DBMS > Memgraph vs. Netezza vs. OrientDB vs. Snowflake

System Properties Comparison Memgraph vs. Netezza vs. OrientDB vs. Snowflake

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrientDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAn open source graph database built for real-time streaming and compatible with Neo4jData warehouse and analytics appliance part of IBM PureSystemsMulti-model DBMS (Document, Graph, Key/Value)Cloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitememgraph.comwww.ibm.com/­products/­netezzaorientdb.orgwww.snowflake.com
Technical documentationmemgraph.com/­docswww.orientdb.com/­docs/­last/­index.htmldocs.snowflake.net/­manuals/­index.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdIBMOrientDB LTD; CallidusCloud; SAPSnowflake Computing Inc.
Initial release2017200020102014
Current release3.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemsLinuxLinux infoincluded in applianceAll OS with a Java JDK (>= JDK 6)hosted
Data schemeschema-free and schema-optionalyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLnoyesSQL-like query language, no joinsyes
APIs and other access methodsBolt protocol
Cypher query language
JDBC
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
CLI Client
JDBC
ODBC
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesJava, Javascriptuser defined functions
TriggersnoHooksno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsUsers with fine-grained authorization conceptAccess rights for users and roles; record level security configurableUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
MemgraphNetezza infoAlso called PureData System for Analytics by IBMOrientDBSnowflake
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
MemgraphNetezza infoAlso called PureData System for Analytics by IBMOrientDBSnowflake
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Recent citations in the news

Graph database company Memgraph raises $9.34M
5 October 2021, VentureBeat

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a ...
7 August 2023, PR Newswire

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12 April 2021, Towards Data Science

London-based Memgraph raises over €8 million in seed funding to provide Streaming Graph Algorithms to the masses
5 October 2021, EU-Startups

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13 April 2021, hackernoon.com

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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
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AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

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22 March 2023, Business Wire

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