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DBMS > Amazon Neptune vs. Lovefield vs. Riak TS vs. Sphinx vs. Tigris

System Properties Comparison Amazon Neptune vs. Lovefield vs. Riak TS vs. Sphinx vs. Tigris

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonLovefield  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudEmbeddable relational database for web apps written in pure JavaScriptRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databasesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSSearch engineDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websiteaws.amazon.com/­neptunegoogle.github.io/­lovefieldsphinxsearch.comwww.tigrisdata.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docswww.tigrisdata.com/­docs
DeveloperAmazonGoogleOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.Tigris Data, Inc.
Initial release20172014201520012022
Current release2.1.12, February 20173.0.0, September 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptErlangC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nononono
Secondary indexesnoyesrestrictedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes, limitedSQL-like query language (SphinxQL)no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP API
Native Erlang Interface
Proprietary protocolCLI Client
gRPC
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnonoErlangnono
TriggersnoUsing read-only observersyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.noneselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nononoAccess rights for users and roles

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More resources
Amazon NeptuneLovefieldRiak TSSphinxTigris
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