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DBMS > Drizzle vs. Google Cloud Datastore vs. Memgraph vs. Nebula Graph

System Properties Comparison Drizzle vs. Google Cloud Datastore vs. Memgraph vs. Nebula Graph

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMemgraph  Xexclude from comparisonNebula Graph  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelRelational DBMSDocument storeGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.79
Rank#65  Overall
#11  Document stores
Score0.13
Rank#292  Overall
#26  Graph DBMS
Score0.43
Rank#234  Overall
#19  Graph DBMS
Websitecloud.google.com/­datastorememgraph.comgithub.com/­vesoft-inc/­nebula
nebula-graph.io
Technical documentationcloud.google.com/­datastore/­docsdocs.memgraph.comdocs.nebula-graph.io
DeveloperDrizzle project, originally started by Brian AkerGoogleMemgraph LtdVesoft Inc.
Initial release2008200820172019
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infoFree license availableOpen Source infoApache Version 2.0 + Common Clause 1.0
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
hostedLinuxLinux
Data schemeyesschema-freeschema-free and schema-optionalStrong typed schema
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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 indexesyesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (GQL)noSQL-like query language
APIs and other access methodsJDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
Browser interface
console (shell)
Proprietary native API
Query language nGQL
Supported programming languagesC
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Go
Java
Python
Server-side scripts infoStored proceduresnousing Google App Engine
Triggersno infohooks for callbacks inside the server can be used.Callbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using PaxosMulti-source replication using RAFTCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID 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 infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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 permissionsRole-based access control
More information provided by the system vendor
DrizzleGoogle Cloud DatastoreMemgraphNebula Graph
Specific characteristicsNebula Graph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebula Graph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCurrently we have some top internet companies in China implementing Nebula Graph...
» more
Market metricsAt our very early stage, Nebula Graph has already received 3.5k stars and thousands...
» more
Licensing and pricing modelsNebula Graph is open source and free to use under Apache 2.0 license and Common Clause...
» more
News

Nebula Graph v1.1 Release Note
21 September 2020

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Nebula Graph 1.0 Benchmark Report based on the LDBC Dataset
11 September 2020

Pick of the Week at Nebula Graph - Nebula Graph DBaaS is Public for Beta Test
11 September 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
DrizzleGoogle Cloud DatastoreMemgraphNebula Graph
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