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DBMS > Altibase vs. Apache Druid vs. EsgynDB vs. Fauna vs. Google Cloud Datastore

System Properties Comparison Altibase vs. Apache Druid vs. EsgynDB vs. Fauna vs. Google Cloud Datastore

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Druid  Xexclude from comparisonEsgynDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFauna 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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Websitealtibase.comdruid.apache.orgwww.esgyn.cnfauna.comcloud.google.com/­datastore
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdruid.apache.org/­docs/­latest/­designdocs.fauna.comcloud.google.com/­datastore/­docs
DeveloperAltibaseApache Software Foundation and contributorsEsgynFauna, Inc.Google
Initial release19992012201520142008
Current releasev7.3, 2023, August 202329.0.1, April 2024
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache license v2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++, JavaScala
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Unix
Linuxhostedhosted
Data schemeyesyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes, details here
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92SQL for queryingyesnoSQL-like query language (GQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
RESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsnoJava Stored Proceduresuser defined functionsusing Google App Engine
TriggersyesnononoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-basedShardinghorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesMulti-source replication between multi datacentersMulti-source replicationMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integrityyesnoyesyesyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononono
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AltibaseApache DruidEsgynDBFauna infopreviously named FaunaDBGoogle Cloud Datastore
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