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DBMS > Blazegraph vs. Hawkular Metrics vs. Tarantool vs. Tigris

System Properties Comparison Blazegraph vs. Hawkular Metrics vs. Tarantool vs. Tigris

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTarantool  Xexclude from comparisonTigris  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.In-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelGraph DBMS
RDF store
Time Series DBMSDocument store
Key-value store
Relational DBMS
Document store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Score1.63
Rank#139  Overall
#25  Document stores
#24  Key-value stores
#65  Relational DBMS
Score0.05
Rank#359  Overall
#50  Document stores
#52  Key-value stores
#23  Search engines
#37  Time Series DBMS
Websiteblazegraph.comwww.hawkular.orgwww.tarantool.iowww.tigrisdata.com
Technical documentationwiki.blazegraph.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.tarantool.io/­en/­docwww.tigrisdata.com/­docs
DeveloperBlazegraphCommunity supported by Red HatVKTigris Data, Inc.
Initial release2006201420082022
Current release2.1.5, March 20192.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
BSD
Linux
macOS
Linux
macOS
Windows
Data schemeschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoFull-featured ANSI SQL supportno
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP RESTOpen binary protocolCLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Go
Java
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyesnoLua, C and SQL stored proceduresno
Triggersnoyes infovia Hawkular Alertingyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyes, write ahead loggingyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)noAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Access rights for users and roles

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More resources
BlazegraphHawkular MetricsTarantoolTigris
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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