Apache Impala
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. For Apache Hive users, Impala utilizes the same metadata and ODBC driver. Like Hive, Impala supports SQL, so you don't have to worry about reinventing the implementation wheel. With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata stored from source through analysis.
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Logflare
Never get surprised by a logging bill again, collect for years, query in seconds. Costs escalates quickly with typical log management solutions. To setup long term analytics on events you need to archive to a CSV and setup another data pipeline to ingest events into a custom tailored data warehouse. With Logflare and BigQuery there is no setup for long term analytics. You can ingest immediately, query in seconds and store data for years. Use our Cloudflare app and catch every request to your web service no matter what. Our Cloudflare App worker doesn't modify your request, it simply pulls the request/response data and logs to Logflare asynchronously after passing your request through. Want to monitor your Elixir app? Our library adds minimal overhead. We batch logs and use BERT binary serialization to keep payload size and serialization load low. When you sign in with your Google account, we give you access to your underlying BigQuery table.
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Apache Iceberg
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time. Iceberg supports flexible SQL commands to merge new data, update existing rows, and perform targeted deletes. Iceberg can eagerly rewrite data files for read performance, or it can use delete deltas for faster updates. Iceberg handles the tedious and error-prone task of producing partition values for rows in a table and skips unnecessary partitions and files automatically. No extra filters are needed for fast queries, and the table layout can be updated as data or queries change.
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Cloudflare R2
Cloudflare R2 is a global object storage service that allows developers to store large amounts of unstructured data without the costly egress bandwidth fees associated with typical cloud storage services. It supports multiple scenarios, including storage for cloud-native applications, web content, podcast episodes, data lakes, and outputs for large batch processes such as machine learning model artifacts or datasets. R2 offers features like location hints to optimize data access, CORS configuration for interacting with objects, public buckets to expose contents directly to the Internet, and bucket-scoped tokens for granular access control. It integrates with Cloudflare Workers, enabling developers to perform authentication, route requests, and deploy edge functions across a network of over 330 data centers. Additionally, R2 supports Apache Iceberg through its data catalog, transforming object storage into a fully functional data warehouse without management overhead.
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