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DBMS > Fauna vs. Hive vs. Pinecone vs. ScyllaDB

System Properties Comparison Fauna vs. Hive vs. Pinecone vs. ScyllaDB

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonHive  Xexclude from comparisonPinecone  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.data warehouse software for querying and managing large distributed datasets, built on HadoopA managed, cloud-native vector databaseCassandra and DynamoDB compatible wide column store
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSVector DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitefauna.comhive.apache.orgwww.pinecone.iowww.scylladb.com
Technical documentationdocs.fauna.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.pinecone.io/­docs/­overviewdocs.scylladb.com
DeveloperFauna, Inc.Apache Software Foundation infoinitially developed by FacebookPinecone Systems, IncScyllaDB
Initial release2014201220192015
Current release3.1.3, April 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageScalaJavaC++
Server operating systemshostedAll OS with a Java VMhostedLinux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesString, Number, Booleanyes
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 indexesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
RESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C++
Java
PHP
Python
PythonFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoin-memory tables
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights for users, groups and rolesAccess rights for users can be defined per object
More information provided by the system vendor
Fauna infopreviously named FaunaDBHivePineconeScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Fauna infopreviously named FaunaDBHivePineconeScyllaDB
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