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  1. Stackups
  2. Application & Data
  3. Databases
  4. Blockchain
  5. BDS vs SimpleHash

BDS vs SimpleHash

OverviewComparisonAlternatives

Overview

BDS
BDS
Stacks3
Followers9
Votes0
GitHub Stars996
Forks61
SimpleHash
SimpleHash
Stacks0
Followers0
Votes0

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Detailed Comparison

BDS
BDS
SimpleHash
SimpleHash

It is a realtime data aggregating, analyzing and visualization service for chain-like unstructured data from all kinds of 3rd party Blockchains.

It is a REST-based API that provides the ability to query NFT metadata, media, and transaction history (including sales and floor prices) across multiple chains.

Cover dozens of well-known Blockchain projects, including BTC, ETH, LTC, XRP, BCH, etc;Provide an interactive data visualization BI tool;Support standard SQL Query statements so that complex query logics can be implemented easily;Provide products that query data on the Blockchain in China and it also provides data visualization BI tools
Enterprise SLAs; Multi-chain native; NFT sales & floor prices; Automatic metadata refreshing; Cached media previews; Integrate effortlessly with your app; Backed by the best
Statistics
GitHub Stars
996
GitHub Stars
-
GitHub Forks
61
GitHub Forks
-
Stacks
3
Stacks
0
Followers
9
Followers
0
Votes
0
Votes
0
Integrations
Grafana
Grafana
PostgreSQL
PostgreSQL
Kafka
Kafka
Microsoft SQL Server
Microsoft SQL Server
Confluent
Confluent
Ethereum
Ethereum

What are some alternatives to BDS, SimpleHash?

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Presto

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Apache Flink

Apache Flink

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

lakeFS

lakeFS

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Apache Kylin

Apache Kylin

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Apache Impala

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

Vertica

Vertica

It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

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