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DBMS > Blueflood vs. Datastax Enterprise vs. H2GIS vs. Warp 10

System Properties Comparison Blueflood vs. Datastax Enterprise vs. H2GIS vs. Warp 10

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonH2GIS  Xexclude from comparisonWarp 10  Xexclude from comparison
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.Spatial extension of H2TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSWide column storeSpatial DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational 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
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteblueflood.iowww.datastax.com/­products/­datastax-enterprisewww.h2gis.orgwww.warp10.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.datastax.comwww.h2gis.org/­docs/­homewww.warp10.io/­content/­02_Getting_started
DeveloperRackspaceDataStaxCNRSSenX
Initial release2013201120132015
Current release6.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoLGPL 3.0Open Source infoApache License 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 languageJavaJavaJavaJava
Server operating systemsLinux
OS X
Linux
OS X
Linux
OS X
Windows
Data schemepredefined schemeschema-freeyesschema-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.nononono
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
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresnonoyes infobased on H2yes infoWarpScript
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraSharding infono "single point of failure"noneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infobased on H2selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
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 datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per objectyes infobased on H2Mandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
BluefloodDatastax EnterpriseH2GISWarp 10
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 EnterpriseH2GISWarp 10
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