![]() It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than 1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions. ![]() Upon receiving a query, Postgres would use a custom foreign data wrapper we built. Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. The Tray Platforms robust PostgreSQL and Redshift connector connects services without the need for separate integration tools. a/src/driver/postgres/PostgresDriver.ts +++ b/src/driver/postgres/PostgresDriver.ts -375,13 +375,16 export class PostgresDriver implements Driver ] = await connection.query("SELECT version()") + const semverArray = version +. All of our data lived in compressed SQLite DBs on S3. We can use the psql client to connect to Redshift as follows: psql -h. -p 5439 .Added to that, the server machinery and infrastructure around these systems can be really quite crufty, he adds. For the most part, thats not what should drive people to use one of these systems versus the other, Tigani says. Once the Redshift instance is ready, get the endpoint from the Redshift dashboard. Snowflake, Redshift, BigQuery, and Synapse are all probably within a factor of two in performance right now. ![]() Diff -git a/src/driver/postgres/PostgresDriver.ts b/src/driver/postgres/PostgresDriver.ts Setup a Redshift instance by following the steps here. ![]()
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