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DBMS > Apache Impala vs. etcd vs. eXtremeDB vs. HugeGraph

System Properties Comparison Apache Impala vs. etcd vs. eXtremeDB vs. HugeGraph

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringA fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMS
Time Series DBMS
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websiteimpala.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmhugegraph.apache.org/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMcObjectBaidu
Initial release201320012018
Current release4.1.0, June 20223.4, August 20198.2, 20210.9
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoC and C++Java
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Unix
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono infosupport of XML interfaces availableno
Secondary indexesyesnoyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infowith the option: eXtremeSQLno
APIs and other access methodsJDBC
ODBC
gRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
Groovy
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesasynchronous Gremlin script jobs
Triggersnoyes, watching key changesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoUsers, roles and permissions
More information provided by the system vendor
Apache ImpalaetcdeXtremeDBHugeGraph
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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

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Apache ImpalaetcdeXtremeDBHugeGraph
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