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DBMS > Amazon Neptune vs. Cloudflare Workers KV vs. LeanXcale vs. Pinecone

System Properties Comparison Amazon Neptune vs. Cloudflare Workers KV vs. LeanXcale vs. Pinecone

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonLeanXcale  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA managed, cloud-native vector database
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store
Relational DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.29
Rank#283  Overall
#40  Key-value stores
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websiteaws.amazon.com/­neptunewww.cloudflare.com/­developer-platform/­workers-kvwww.leanxcale.comwww.pinecone.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdevelopers.cloudflare.com/­kv/­apidocs.pinecone.io/­docs/­overview
DeveloperAmazonCloudflareLeanXcalePinecone Systems, Inc
Initial release2017201820152019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedhosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoString, Number, Boolean
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 indexesnono
SQL infoSupport of SQLnonoyes infothrough Apache Derbyno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP REST
Proprietary protocol
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
Java
Scala
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnone
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.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

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More resources
Amazon NeptuneCloudflare Workers KVLeanXcalePinecone
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