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DBMS > Blueflood vs. Datastax Enterprise vs. Teradata Aster vs. TinkerGraph

System Properties Comparison Blueflood vs. Datastax Enterprise vs. Teradata Aster vs. TinkerGraph

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Platform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSWide column storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteblueflood.iowww.datastax.com/­products/­datastax-enterprisetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.datastax.com
DeveloperRackspaceDataStaxTeradata
Initial release2013201120052009
Current release6.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaJava
Server operating systemsLinux
OS X
Linux
OS X
Linux
Data schemepredefined schemeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infoin Aster File Storeno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLyesno
APIs and other access methodsHTTP RESTProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Groovy
Java
Server-side scripts infoStored proceduresnonoR packagesno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infono "single point of failure"Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoAccess rights for users can be defined per objectfine grained access rights according to SQL-standardno
More information provided by the system vendor
BluefloodDatastax EnterpriseTeradata AsterTinkerGraph
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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BluefloodDatastax EnterpriseTeradata AsterTinkerGraph
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