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DBMS > Apache Drill vs. GridDB vs. Lovefield vs. Netezza

System Properties Comparison Apache Drill vs. GridDB vs. Lovefield vs. Netezza

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGridDB  Xexclude from comparisonLovefield  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageScalable in-memory time series database optimized for IoT and Big DataEmbeddable relational database for web apps written in pure JavaScriptData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitedrill.apache.orggriddb.netgoogle.github.io/­lovefieldwww.ibm.com/­products/­netezza
Technical documentationdrill.apache.org/­docsdocs.griddb.netgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software FoundationToshiba CorporationGoogleIBM
Initial release2012201320142000
Current release1.20.3, January 20235.1, August 20222.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScript
Server operating systemsLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux infoincluded in appliance
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
OLE DB
Supported programming languagesC++C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsnonoyes
TriggersnoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes infousing MemoryDB
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users can be defined per databasenoUsers with fine-grained authorization concept
More information provided by the system vendor
Apache DrillGridDBLovefieldNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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Apache DrillGridDBLovefieldNetezza infoAlso called PureData System for Analytics by IBM
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