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DBMS > Drizzle vs. Google BigQuery vs. Machbase Neo vs. Sqrrl

System Properties Comparison Drizzle vs. Google BigQuery vs. Machbase Neo vs. Sqrrl

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSqrrl  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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Large scale data warehouse service with append-only tablesTimeSeries DBMS for AIoT and BigDataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score0.22
Rank#324  Overall
#29  Time Series DBMS
Websitecloud.google.com/­bigquerymachbase.comsqrrl.com
Technical documentationcloud.google.com/­bigquery/­docsmachbase.com/­dbms
DeveloperDrizzle project, originally started by Brian AkerGoogleMachbaseAmazon infooriginally Sqrrl Data, Inc.
Initial release2008201020132012
Current release7.2.4, September 2012V8.0, August 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
macOS
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like query languageno
APIs and other access methodsJDBCRESTful HTTP/JSON APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnono
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup table
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)simple password-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DrizzleGoogle BigQueryMachbase Neo infoFormer name was InfinifluxSqrrl
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