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DBMS > Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. NuoDB

System Properties Comparison Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. NuoDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparisonNuoDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSWide column storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#106  Overall
#7  Wide column stores
Score0.05
Rank#306  Overall
#29  Graph DBMS
Score0.94
Rank#158  Overall
#76  Relational DBMS
Websitecloud.google.com/­bigtablememgraph.comwww.nuodb.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.memgraph.comdoc.nuodb.com
DeveloperDrizzle project, originally started by Brian AkerGoogleMemgraph LtdNuoDB, Inc.
Initial release2008201520172013
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infoFree license availablecommercial infolimited edition free
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 languageC++C and C++C++
Server operating systemsFreeBSD
Linux
OS X
hostedLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoyes
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoJava, SQL
Triggersno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-Master replication using RAFTyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID infowith snapshot isolationACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoMVCC
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.noyesyes infoTemporary table
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissionsStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
DrizzleGoogle Cloud BigtableMemgraphNuoDB
Specific characteristicsHorizontal scale-out, continuous availability, multi-tenant support, ANSI SQL compatible,...
» more
Competitive advantagesNuoDB is a scale-out SQL RDBMS based on a Durable Distributed Caching (DDC) architecture....
» more
Typical application scenariosOperational / OLTP database workloads in data centers or public clouds
» more
Key customersDassault Systemes, Santander, Temenos
» more
Market metricsFast growing commercial and enterprise customer base IDC Innovators: Dynamically...
» more
Licensing and pricing modelsSubscription-based pricing with free community edition and commercial enterprise...
» more
News

Running NuoDB in Docker - Part III: How to use common SQL execution GUI tools with NuoDB (Tech Blog)
16 January 2020

Why and When You Need Transactional DDL in Your Database (Tech Blog)
2 January 2020

Answers to Your 5 Questions about Database Scalability (Tech Blog)
6 December 2019

Top 10 FAQs from KubeCon 2019 in San Diego (Tech Blog)
26 November 2019

How Can I Confirm That My NuoDB Upgrade Completed Successfully? (Tech Blog)
20 November 2019

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