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DBMS > Hawkular Metrics vs. LeanXcale vs. Neo4j vs. TimescaleDB

System Properties Comparison Hawkular Metrics vs. LeanXcale vs. Neo4j vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonLeanXcale  Xexclude from comparisonNeo4j  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Graph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#366  Overall
#38  Time Series DBMS
Score0.33
Rank#287  Overall
#38  Key-value stores
#132  Relational DBMS
Score44.36
Rank#23  Overall
#1  Graph DBMS
Score5.33
Rank#72  Overall
#4  Time Series DBMS
Websitewww.hawkular.orgwww.leanxcale.comneo4j.comwww.timescale.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guideneo4j.com/­docsdocs.timescale.com
DeveloperCommunity supported by Red HatLeanXcaleNeo4j, Inc.Timescale
Initial release2014201520072017
Current release5.18.1, March 20242.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaJava, ScalaC
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyes
Secondary indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnoyes infothrough Apache Derbynoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP RESTJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
Ruby
C
Java
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia Hawkular Alertingyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes using Neo4j Fabricyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integritynoyesyes 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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
Hawkular MetricsLeanXcaleNeo4jTimescaleDB
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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