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DBMS > Apache Druid vs. Google BigQuery vs. Hazelcast vs. Linter vs. Neo4j

System Properties Comparison Apache Druid vs. Google BigQuery vs. Hazelcast vs. Linter vs. Neo4j

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLarge scale data warehouse service with append-only tablesA widely adopted in-memory data gridRDBMS for high security requirementsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMSGraph DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score6.87
Rank#55  Overall
#6  Key-value stores
Score0.10
Rank#350  Overall
#153  Relational DBMS
Score44.47
Rank#23  Overall
#1  Graph DBMS
Websitedruid.apache.orgcloud.google.com/­bigqueryhazelcast.comlinter.runeo4j.com
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­bigquery/­docshazelcast.org/­imdg/­docsneo4j.com/­docs
DeveloperApache Software Foundation and contributorsGoogleHazelcastrelex.ruNeo4j, Inc.
Initial release20122010200819902007
Current release29.0.1, April 20245.3.6, November 20235.18.1, March 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJavaJavaC and C++Java, Scala
Server operating systemsLinux
OS X
Unix
hostedAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infothe object must implement a serialization strategyno
Secondary indexesyesnoyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL for queryingyesSQL-like query languageyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON APIJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptyes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoUser defined Procedures and Functions
Triggersnonoyes infoEventsyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoReplicated MapSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynononoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Apache DruidGoogle BigQueryHazelcastLinterNeo4j
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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More resources
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