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DBMS > EXASOL vs. GreptimeDB vs. Hazelcast vs. LevelDB

System Properties Comparison EXASOL vs. GreptimeDB vs. Hazelcast vs. LevelDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHazelcast  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.An open source Time Series DBMS built for increased scalability, high performance and efficiencyA widely adopted in-memory data gridEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSTime Series DBMSKey-value storeKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Websitewww.exasol.comgreptime.comhazelcast.comgithub.com/­google/­leveldb
Technical documentationwww.exasol.com/­resourcesdocs.greptime.comhazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperExasolGreptime Inc.HazelcastGoogle
Initial release2000202220082011
Current release5.3.6, November 20231.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaC++
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMIllumos
Linux
OS X
Windows
Data schemeyesschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLyesyesSQL-like query languageno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
HTTP API
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesJava
Lua
Python
R
C++
Erlang
Go
Java
JavaScript
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresuser defined functionsPythonyes infoEvent Listeners, Executor Servicesno
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSimple rights management via user accountsRole-based access controlno
More information provided by the system vendor
EXASOLGreptimeDBHazelcastLevelDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EXASOLGreptimeDBHazelcastLevelDB
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