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DBMS > Drizzle vs. FaunaDB vs. Google Cloud Bigtable vs. Memgraph vs. SQream DB

System Properties Comparison Drizzle vs. FaunaDB vs. Google Cloud Bigtable vs. Memgraph vs. SQream DB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparisonSQream DB  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.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scalea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Wide column storeGraph DBMSRelational 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
Score2.36
Rank#101  Overall
#7  Wide column stores
Score0.06
Rank#315  Overall
#31  Graph DBMS
Score0.47
Rank#213  Overall
#102  Relational DBMS
Websitefauna.comcloud.google.com/­bigtablememgraph.comsqream.com
Technical documentationfauna.com/­documentationcloud.google.com/­bigtable/­docsdocs.memgraph.comdocs.sqream.com/­latest/­manual
DeveloperDrizzle project, originally started by Brian AkerFauna, Inc.GoogleMemgraph LtdSQream Technologies
Initial release20082014201520172014
Current release7.2.4, September 20122019.2.1, July 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercial infoFree license availablecommercial
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 and C++C++, CUDA, Haskell
Server operating systemsFreeBSD
Linux
OS X
LinuxhostedLinuxLinux
Data schemeyesschema-freeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesnonoyesyes, ANSI Standard SQL Types
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 indexesyesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnononoyes
APIs and other access methodsJDBCRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Bolt protocol
Cypher query language
.Net
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions in Python
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingSharding infodynamic graph partitioninghorizontal and vertical 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 RAFTnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes 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 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)Users, roles and permissions
More information provided by the system vendor
DrizzleFaunaDBGoogle Cloud BigtableMemgraphSQream DB
Specific characteristicsServerless cloud database for modern applications Native GraphQL API High performance...
» more
Due to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesDocument-relational interface: combines flexibility in modeling with flexibility...
» more
Much faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosModern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
What can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersNextdoor ShiftX
» more
Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more

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More resources
DrizzleFaunaDBGoogle Cloud BigtableMemgraphSQream DB
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