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DBMS > Drizzle vs. FaunaDB vs. Google BigQuery vs. Google Cloud Bigtable vs. Memgraph

System Properties Comparison Drizzle vs. FaunaDB vs. Google BigQuery vs. Google Cloud Bigtable vs. Memgraph

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFaunaDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  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.Strongly consistent database capable of global horizontal scale with a focus on operational simplicityLarge scale data warehouse service with append-only tablesGoogle'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 scale
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSWide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#159  Overall
#23  Document stores
#13  Graph DBMS
#77  Relational DBMS
#9  Time Series DBMS
Score27.97
Rank#26  Overall
#15  Relational DBMS
Score2.36
Rank#101  Overall
#7  Wide column stores
Score0.06
Rank#315  Overall
#31  Graph DBMS
Websitefauna.comcloud.google.com/­bigquerycloud.google.com/­bigtablememgraph.com
Technical documentationfauna.com/­documentationcloud.google.com/­bigquery/­docscloud.google.com/­bigtable/­docsdocs.memgraph.com
DeveloperDrizzle project, originally started by Brian AkerFauna, Inc.GoogleGoogleMemgraph Ltd
Initial release20082014201020152017
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC and C++
Server operating systemsFreeBSD
Linux
OS X
LinuxhostedhostedLinux
Data schemeyesschema-freeyesschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesnono
APIs and other access methodsJDBCRESTful HTTP APIRESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
Supported programming languagesC
C++
Java
PHP
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions infoin JavaScriptno
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingnoneShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
MasterlessInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoSince BigQuery is designed for querying dataAtomic single-row operationsACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPIdentity management, authentication, and access controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions
More information provided by the system vendor
DrizzleFaunaDBGoogle BigQueryGoogle Cloud BigtableMemgraph
Specific characteristicsServerless cloud database for modern applications Native GraphQL API High performance...
» more
Competitive advantagesDocument-relational interface: combines flexibility in modeling with flexibility...
» more
Typical application scenariosModern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
Key customersNextdoor ShiftX
» more

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More resources
DrizzleFaunaDBGoogle BigQueryGoogle Cloud BigtableMemgraph
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