Google Cloud Spanner VS ClickHouse

Google Cloud Spanner Reviews

ClickHouse Reviews

Google Cloud Spanner mentions (17)

• Golden Ticket To Explore Google Cloud

  Multiregion is possible in Google Cloud using Cloud Spanner, which allows you to replicate the database not only in multiple zones but also in multiple regions as defined in the instance configuration. The replicas allow you to read data with low latency from multiple locations that are close to or within the region in the configuration. - Source: dev.to / 9 months ago

• /u/ryuuthecat wonders how a feature of google maps works. Engineer who programmed the feature responds with the answer

  Basically everything I touch is in-house, but a majority of it is available publicly. For instance: https://cloud.google.com/spanner/. Source: over 1 year ago

• How Do Companies (Like Evernote) Handle So Many Notes?

  An application that needs to handle a lot of data can use a distributed database like Cloud Spanner. Unlimited scale and you don't have to split your database into multiple tables. Source: over 1 year ago

• One of my favorite topics in DE is CAP Theorem. Has anyone managed to accomplish all 3 at once yet or is it truly impossible like the theorem states.

  Look at the architecture and performance of Google's Cloud Spanner, a CP system with 99.999% availability... https://cloud.google.com/spanner. Source: over 1 year ago

• Vaultree and AlloyDB: the world's first Fully Homomorphic and Searchable Cloud Encryption Solution

  In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago

ClickHouse mentions (43)

• The 2024 Web Hosting Report

  For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 2 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Online analytical processing (OLAP) databases like Apache Druid, Apache Pinot, and ClickHouse shine in addressing user-initiated analytical queries. You might write a query to analyze historical data to find the most-clicked products over the past month efficiently using OLAP databases. When contrasting with streaming databases, they may not be optimized for incremental computation, leading to challenges in... - Source: dev.to / 3 months ago

• Real-Time Data Enrichment and Analytics With RisingWave and ClickHouse

  To achieve seamless real-time data ingestion, transformation, and analytics, a powerful combination to explore is RisingWave and ClickHouse. RisingWave is a PostgreSQL-compatible database specifically designed for stream processing. It excels at ingesting real-time data streams, performing diverse transformations, and enabling instant querying of results. ClickHouse® is a high-performance, column-oriented SQL... - Source: dev.to / 4 months ago

• Ask HN: Is there a Hacker News takeout to export my comments / upvotes, etc.?

  You can export the whole dataset as described here: https://github.com/ClickHouse/ClickHouse/issues/29693

      curl https://clickhouse.com/ | sh.

  - Source: Hacker News / 5 months ago

• Best alternative

  Nowadays I am looking at the clickhouse and how it might help me maybe you can check it out: https://clickhouse.com/. Source: 5 months ago