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DBMS > Lovefield vs. Netezza vs. Redis vs. Snowflake

System Properties Comparison Lovefield vs. Netezza vs. Redis vs. Snowflake

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRedis  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptData warehouse and analytics appliance part of IBM PureSystemsIn-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMS
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#257  Overall
#118  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score152.87
Rank#7  Overall
#1  Key-value stores
Score2.59
Rank#107  Overall
#53  Relational DBMS
Websitegoogle.github.io/­lovefieldwww.ibm.com/­analytics/­netezzaredis.iowww.snowflake.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdredis.io/­documentationdocs.snowflake.net/­manuals/­index.html
DeveloperGoogleIBMSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsSnowflake Computing Inc.
Initial release2014200020092014
Current release2.1.12, February 20176.0.6, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSD 3-Clause, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux infoincluded in applianceBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
hosted
Data schemeyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonoyes
Secondary indexesyesyesyes infowith RediSearch module
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesnoyes
APIs and other access methodsJDBC
ODBC
OLE DB
proprietary protocol infoRESP - REdis Serialization ProtocolCLI Client
JDBC
ODBC
Supported programming languagesJavaScriptC
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesLuauser defined functions
TriggersUsing read-only observersnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesno
User concepts infoAccess controlnoUsers with fine-grained authorization conceptSimple password-based access control infoAccess control lists and SSL are available in the commercial versionUsers with fine-grained authorization concept, user roles and pluggable authentication

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LovefieldNetezza infoAlso called PureData System for Analytics by IBMRedisSnowflake
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