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DBMS > Google BigQuery vs. Immudb vs. Memgraph vs. Netezza

System Properties Comparison Google BigQuery vs. Immudb vs. Memgraph vs. Netezza

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonImmudb  Xexclude from comparisonMemgraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.An open source graph database built for real-time streaming and compatible with Neo4jData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSKey-value storeGraph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score0.24
Rank#295  Overall
#42  Key-value stores
Score2.91
Rank#94  Overall
#7  Graph DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitecloud.google.com/­bigquerygithub.com/­codenotary/­immudb
immudb.io
memgraph.comwww.ibm.com/­products/­netezza
Technical documentationcloud.google.com/­bigquery/­docsdocs.immudb.iomemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGoogleCodenotaryMemgraph LtdIBM
Initial release2010202020172000
Current release1.2.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++
Server operating systemshostedBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxLinux infoincluded in appliance
Data schemeyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesSQL-like syntaxnoyes
APIs and other access methodsRESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
Bolt protocol
Cypher query language
JDBC
ODBC
OLE DB
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users, roles and permissionsUsers with fine-grained authorization concept
More information provided by the system vendor
Google BigQueryImmudbMemgraphNetezza infoAlso called PureData System for Analytics by IBM
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
Google BigQueryImmudbMemgraphNetezza infoAlso called PureData System for Analytics by IBM
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