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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKinetica  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 simplicityGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GPU-accelerated database for real-time analysis of large and streaming datasetsA 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
Wide column storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.95
Rank#154  Overall
#23  Document stores
#11  Graph DBMS
#76  Relational DBMS
#9  Time Series DBMS
Score2.38
Rank#103  Overall
#7  Wide column stores
Score0.57
Rank#200  Overall
#97  Relational DBMS
Score0.06
Rank#315  Overall
#31  Graph DBMS
Websitefauna.comcloud.google.com/­bigtablewww.kinetica.commemgraph.com
Technical documentationfauna.com/­documentationcloud.google.com/­bigtable/­docswww.kinetica.com/­docsdocs.memgraph.com
DeveloperDrizzle project, originally started by Brian AkerFauna, Inc.GoogleKineticaMemgraph Ltd
Initial release20082014201520122017
Current release7.2.4, September 20126.0
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC, C++C and C++
Server operating systemsFreeBSD
Linux
OS X
LinuxhostedLinuxLinux
Data schemeyesschema-freeschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesnonoyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Supported programming languagesC
C++
Java
PHP
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersno infohooks for callbacks inside the server can be used.nonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingShardingSharding 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 zonesMaster-slave replicationMulti-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsnoACID 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.nonoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelUsers, roles and permissions
More information provided by the system vendor
DrizzleFaunaDBGoogle Cloud BigtableKineticaMemgraph
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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DrizzleFaunaDBGoogle Cloud BigtableKineticaMemgraph
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