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DBMS > Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. Microsoft Azure SQL Data Warehouse vs. Oracle Rdb

System Properties Comparison Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. Microsoft Azure SQL Data Warehouse vs. Oracle Rdb

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonOracle Rdb  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 scaleElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSWide column storeGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.36
Rank#101  Overall
#7  Wide column stores
Score0.06
Rank#315  Overall
#31  Graph DBMS
Score9.37
Rank#43  Overall
#27  Relational DBMS
Score1.01
Rank#146  Overall
#71  Relational DBMS
Websitecloud.google.com/­bigtablememgraph.comazure.microsoft.com/­services/­sql-data-warehousewww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationcloud.google.com/­bigtable/­docsdocs.memgraph.comdocs.microsoft.com/­azure/­sql-data-warehouse
DeveloperDrizzle project, originally started by Brian AkerGoogleMemgraph LtdMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20082015201720161984
Current release7.2.4, September 20127.3.3.2.0, 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infoFree license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
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
hostedLinuxhostedHP Open VMS
Data schemeyesschema-freeschema-free and schema-optionalyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoyesyes
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
C#
Java
PHP
Server-side scripts infoStored proceduresnonoTransact SQL
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infodynamic graph partitioningSharding, horizontal partitioning
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID infowith snapshot isolationACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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 permissionsyes

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More resources
DrizzleGoogle Cloud BigtableMemgraphMicrosoft Azure SQL Data WarehouseOracle Rdb
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