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DBMS > Apache Drill vs. Blazegraph vs. Lovefield vs. SurrealDB

System Properties Comparison Apache Drill vs. Blazegraph vs. Lovefield vs. SurrealDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBlazegraph  Xexclude from comparisonLovefield  Xexclude from comparisonSurrealDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Embeddable relational database for web apps written in pure JavaScriptA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitedrill.apache.orgblazegraph.comgoogle.github.io/­lovefieldsurrealdb.com
Technical documentationdrill.apache.org/­docswiki.blazegraph.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsurrealdb.com/­docs
DeveloperApache Software FoundationBlazegraphGoogleSurrealDB Ltd
Initial release2012200620142022
Current release1.20.3, January 20232.1.5, March 20192.1.12, February 2017v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoextended commercial license availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptRust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSPARQL is used as query languageSQL-like query language infovia JavaScript builder patternSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
JavaScriptDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functionsyesno
TriggersnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes, 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.Depending on the underlying data sourceyes infousing MemoryDB
User concepts infoAccess controlDepending on the underlying data sourceSecurity and Authentication via Web Application Container (Tomcat, Jetty)noyes, based on authentication and database rules

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More resources
Apache DrillBlazegraphLovefieldSurrealDB
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Analyse Kafka messages with SQL queries using Apache Drill
27 September 2019, Towards Data Science

MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
30 January 2019, Business Wire

Apache Drill Adds New Data Formats
28 March 2022, iProgrammer

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

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18 June 2024, PR Newswire

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