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DBMS > ArangoDB vs. Brytlyt vs. GigaSpaces

System Properties Comparison ArangoDB vs. Brytlyt vs. GigaSpaces

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#88  Overall
#14  Document stores
#4  Graph DBMS
#13  Key-value stores
#9  Search engines
Score0.25
Rank#297  Overall
#134  Relational DBMS
Score1.14
Rank#169  Overall
#27  Document stores
#6  Object oriented DBMS
Websitearangodb.combrytlyt.iowww.gigaspaces.com
Technical documentationdocs.arangodb.comdocs.brytlyt.iodocs.gigaspaces.com/­latest/­landing.html
DeveloperArangoDB Inc.BrytlytGigaspaces Technologies
Initial release201220162000
Current release3.11.5, November 20235.0, August 202315.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++ and CUDAJava, C++, .Net
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes
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.yes infospecific XML-type available, but no XML query functionality.no infoXML can be used for describing objects metadata
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-99 for query and DML statements
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresJavaScriptuser defined functions infoin PL/pgSQLyes
Triggersnoyesyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardRole-based access control

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More resources
ArangoDBBrytlytGigaSpaces
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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