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DBMS > Drizzle vs. Interbase vs. Microsoft Azure AI Search vs. NSDb vs. Sqrrl

System Properties Comparison Drizzle vs. Interbase vs. Microsoft Azure AI Search vs. NSDb vs. Sqrrl

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  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.Light-weight proven RDBMS infooriginally from BorlandSearch-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSSearch engineTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­services/­searchnsdb.iosqrrl.com
Technical documentationdocs.embarcadero.com/­products/­interbaselearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecture
DeveloperDrizzle project, originally started by Brian AkerEmbarcaderoMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20081984201520172012
Current release7.2.4, September 2012InterBase 2020, December 2019V1
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava, ScalaJava
Server operating systemsFreeBSD
Linux
OS X
Android
iOS
Linux
OS X
Windows
hostedLinux
macOS
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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.no infoexport as XML data possiblenono
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoSQL-like query languageno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
Java
JavaScript
Python
Java
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenonono
Triggersno infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Interbase Change Viewsyes infoImplicit feature of the cloud serviceselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyes infousing Azure authenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DrizzleInterbaseMicrosoft Azure AI SearchNSDbSqrrl
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