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DBMS > Datastax Enterprise vs. InfinityDB vs. Lovefield vs. Transwarp ArgoDB

System Properties Comparison Datastax Enterprise vs. InfinityDB vs. Lovefield vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonInfinityDB  Xexclude from comparisonLovefield  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionDataStax 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.A Java embedded Key-Value Store which extends the Java Map interfaceEmbeddable relational database for web apps written in pure JavaScriptDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelWide column storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseboilerbay.comgoogle.github.io/­lovefieldwww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.datastax.comboilerbay.com/­infinitydb/­manualgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperDataStaxBoiler Bay Inc.GoogleTranswarp
Initial release201120022014
Current release6.8, April 20204.02.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
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 languageJavaJavaJavaScript
Server operating systemsLinux
OS X
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJavaScript
Server-side scripts infoStored proceduresnonono
TriggersyesnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users can be defined per objectnono
More information provided by the system vendor
Datastax EnterpriseInfinityDBLovefieldTranswarp ArgoDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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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...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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Datastax EnterpriseInfinityDBLovefieldTranswarp ArgoDB
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