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DBMS > Amazon Neptune vs. Cachelot.io vs. Firebird vs. Hawkular Metrics vs. Quasardb

System Properties Comparison Amazon Neptune vs. Cachelot.io vs. Firebird vs. Hawkular Metrics vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCachelot.io  Xexclude from comparisonFirebird  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudIn-memory caching systemFirebird is an open source RDBMS forked from Borland's InterBaseHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Distributed, high-performance timeseries database
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.04
Rank#388  Overall
#62  Key-value stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­neptunecachelot.iowww.firebirdsql.orgwww.hawkular.orgquasar.ai
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.firebirdsql.org/­en/­reference-manualswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedoc.quasar.ai/­master
DeveloperAmazonFirebird FoundationCommunity supported by Red Hatquasardb
Initial release201720152000 infoAs fork of Borland's InterBase20142009
Current release5.0.0, January 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD LicenseOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++JavaC++
Server operating systemshostedFreeBSD
Linux
OS X
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes infointeger and binary
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.nononono
Secondary indexesnonoyesnoyes infowith tags
SQL infoSupport of SQLnonoyesnoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Memcached protocolADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HTTP RESTHTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Go
Java
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoPSQLnono
Triggersnonoyesyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infobased on CassandraSharding infoconsistent hashing
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.noneSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restnoyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers with fine-grained authorization conceptnoCryptographically strong user authentication and audit trail

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More resources
Amazon NeptuneCachelot.ioFirebirdHawkular MetricsQuasardb
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