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DBMS > Fauna vs. Google BigQuery vs. Ignite vs. NSDb

System Properties Comparison Fauna vs. Google BigQuery vs. Ignite vs. NSDb

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Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIgnite  Xexclude from comparisonNSDb  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.Large scale data warehouse service with append-only tablesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.38
Rank#151  Overall
#27  Document stores
#12  Graph DBMS
#73  Relational DBMS
#10  Time Series DBMS
Score50.03
Rank#24  Overall
#16  Relational DBMS
Score7.06
Rank#61  Overall
#7  Key-value stores
#35  Relational DBMS
Score0.00
Rank#357  Overall
#33  Time Series DBMS
Websitefauna.comcloud.google.com/­bigqueryignite.apache.orgnsdb.io
Technical documentationdocs.fauna.comcloud.google.com/­bigquery/­docsapacheignite.readme.io/­docsnsdb.io/­Architecture
DeveloperFauna, Inc.GoogleApache Software Foundation
Initial release2014201020152017
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++, Java, .NetJava, Scala
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes: int, bigint, decimal, string
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.nonoyesno
Secondary indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlIdentity management, authentication, and access controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Security Hooks for custom implementations

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More resources
Fauna infopreviously named FaunaDBGoogle BigQueryIgniteNSDb
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