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DBMS > LevelDB vs. Microsoft Azure Search vs. Redis vs. Teradata Aster

System Properties Comparison LevelDB vs. Microsoft Azure Search vs. Redis vs. Teradata Aster

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Azure Search  Xexclude from comparisonRedis  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSearch-as-a-service for web and mobile app developmentIn-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.Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeSearch engineKey-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
Score2.88
Rank#88  Overall
#16  Key-value stores
Score6.34
Rank#55  Overall
#6  Search engines
Score147.58
Rank#8  Overall
#1  Key-value stores
Websitegithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­searchredis.io
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddocs.microsoft.com/­en-us/­azure/­searchredis.io/­documentation
DeveloperGoogleMicrosoftSalvatore Sanfilippo infoDevelopment sponsored by Redis LabsTeradata
Initial release2011201520092005
Current release1.22, May 2019V15.0.8, March 2020
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoBSD 3-Clause, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemsIllumos
Linux
OS X
Windows
hostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyespartial 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.nononoyes infoin Aster File Store
Secondary indexesnoyesyes infowith RediSearch moduleyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APIproprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
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
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnonoLuaR packages
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoOptimistic 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 infowith automatic compression on writesyesyes 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.noyesno
User concepts infoAccess controlnoyes infousing Azure authenticationSimple password-based access control infoAccess control lists and SSL are available in the commercial versionfine grained access rights according to SQL-standard

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More resources
LevelDBMicrosoft Azure SearchRedisTeradata Aster
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