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DBMS > Amazon Neptune vs. Apache Impala vs. Hawkular Metrics vs. LevelDB vs. TempoIQ

System Properties Comparison Amazon Neptune vs. Apache Impala vs. Hawkular Metrics vs. LevelDB vs. TempoIQ

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLevelDB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for HadoopHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websiteaws.amazon.com/­neptuneimpala.apache.orgwww.hawkular.orggithub.com/­google/­leveldbtempoiq.com (offline)
Technical documentationaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaCommunity supported by Red HatGoogleTempoIQ
Initial release20172013201420112012
Current release4.1.0, June 20221.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemshostedLinuxLinux
OS X
Windows
Illumos
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
HTTP RESTHTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCGo
Java
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenonono
Triggersnonoyes infovia Hawkular Alertingnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandranone
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.selectable replication factorselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosnonosimple authentication-based access control

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More resources
Amazon NeptuneApache ImpalaHawkular MetricsLevelDBTempoIQ infoformerly TempoDB
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