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DBMS > Apache Drill vs. Datastax Enterprise vs. HugeGraph vs. Lovefield

System Properties Comparison Apache Drill vs. Datastax Enterprise vs. HugeGraph vs. Lovefield

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDataStax 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 fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Relational DBMS
Wide column storeGraph DBMSRelational 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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitedrill.apache.orgwww.datastax.com/­products/­datastax-enterprisegithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefield
Technical documentationdrill.apache.org/­docsdocs.datastax.comhugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software FoundationDataStaxBaiduGoogle
Initial release2012201120182014
Current release1.20.3, January 20236.8, April 20200.92.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open 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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Implementation languageJavaJavaJavaScript
Server operating systemsLinux
OS X
Windows
Linux
OS X
Linux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeyesyes
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 indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC++C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnoasynchronous Gremlin script jobsno
TriggersnoyesnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"yes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesyes infousing MemoryDB
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users can be defined per objectUsers, roles and permissionsno
More information provided by the system vendor
Apache DrillDatastax EnterpriseHugeGraphLovefield
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...
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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...
» 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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Apache DrillDatastax EnterpriseHugeGraphLovefield
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