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DBMS > Drizzle vs. Interbase vs. Sqrrl vs. Vertica

System Properties Comparison Drizzle vs. Interbase vs. Sqrrl vs. Vertica

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonInterbase  Xexclude from comparisonSqrrl  Xexclude from comparisonVertica infoVertica Analytics Platform  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 BorlandAdaptable, secure NoSQL built on Apache AccumuloColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.55
Rank#53  Overall
#30  Relational DBMS
Score22.63
Rank#29  Overall
#17  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasesqrrl.comwww.vertica.com
Technical documentationdocs.embarcadero.com/­products/­interbasewww.vertica.com/­documentation/­vertica/­9-3-x-documentation
DeveloperDrizzle project, originally started by Brian AkerEmbarcaderoAmazon infooriginally Sqrrl Data, Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release2008198420122005
Current release7.2.4, September 2012InterBase 2017, March 2017Vertica Analytics Platform 9.3.x, January 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemsFreeBSD
Linux
OS X
Android
iOS
Linux
OS X
Windows
LinuxLinux
Data schemeyesyesschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
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.no infoexport as XML data possibleyes
Secondary indexesyesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenoyes
Triggersno infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infomaking use of HadoopSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Interbase Change Viewsselectable replication factor infomaking use of HadoopMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infowith Vertica Connector for Hadoop
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.Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
DrizzleInterbaseSqrrlVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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DrizzleInterbaseSqrrlVertica infoVertica Analytics Platform
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