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DBMS > Amazon Neptune vs. Apache Druid vs. Hazelcast vs. Manticore Search vs. TerminusDB

System Properties Comparison Amazon Neptune vs. Apache Druid vs. Hazelcast vs. Manticore Search vs. TerminusDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Druid  Xexclude from comparisonHazelcast  Xexclude from comparisonManticore Search  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA widely adopted in-memory data gridMulti-storage database for search, including full-text search.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Key-value storeSearch engineGraph DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMS infousing the Manticore Columnar LibraryDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­neptunedruid.apache.orghazelcast.commanticoresearch.comterminusdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdruid.apache.org/­docs/­latest/­designhazelcast.org/­imdg/­docsmanual.manticoresearch.comterminusdb.github.io/­terminusdb/­#
DeveloperAmazonApache Software Foundation and contributorsHazelcastManticore SoftwareDataChemist Ltd.
Initial release20172012200820172018
Current release29.0.1, April 20245.3.6, November 20236.0, February 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Prolog, Rust
Server operating systemshostedLinux
OS X
Unix
All OS with a Java VMFreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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 strategyCan index from XMLno
Secondary indexesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL for queryingSQL-like query languageSQL-like query languageSQL-like query language (WOQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesuser defined functionsyes
Triggersnonoyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yes, via HDFS, S3 or other storage enginesyes infoReplicated MapSynchronous replication based on Galera libraryJournaling Streams
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 Algorithm
Foreign keys infoReferential integrityyes infoRelationships in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlnoRole-based access control

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More resources
Amazon NeptuneApache DruidHazelcastManticore SearchTerminusDB infoformer name was DataChemist
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