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DBMS > Hawkular Metrics vs. Hazelcast vs. Sqrrl vs. SurrealDB vs. Teradata Aster

System Properties Comparison Hawkular Metrics vs. Hazelcast vs. Sqrrl vs. SurrealDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonSqrrl  Xexclude from comparisonSurrealDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridAdaptable, secure NoSQL built on Apache AccumuloA fully ACID transactional, developer-friendly, multi-model DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelTime Series DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Graph DBMS
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitewww.hawkular.orghazelcast.comsqrrl.comsurrealdb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docssurrealdb.com/­docs
DeveloperCommunity supported by Red HatHazelcastAmazon infooriginally Sqrrl Data, Inc.SurrealDB LtdTeradata
Initial release20142008201220222005
Current release5.3.6, November 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaRust
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
macOS
Windows
Linux
Data schemeschema-freeschema-freeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyes infothe object must implement a serialization strategyyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query languageyes
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesnoR packages
Triggersyes infovia Hawkular Alertingyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoReplicated Mapselectable replication factor infomaking use of Hadoopyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedAtomic updates per row, document, or graph entityACIDACID
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.noyesno
User concepts infoAccess controlnoRole-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes, based on authentication and database rulesfine grained access rights according to SQL-standard

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Hawkular MetricsHazelcastSqrrlSurrealDBTeradata Aster
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