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Overview
Fully managed hosting for ClickHouse software with obsessive performance per dollar. Drop-in replacement, zero operational overhead.
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How We Made ClickHouse Projections 10x Faster at 20 Terabytes
Projections on SharedMergeTree do not scale well: past a few terabytes, selection overhead starts eating the query. We run one on a 20+ TB table with over 200 billion rows and got it more than 10x faster. This is the engineering underneath.
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chkit is now available in Python
chkit-py brings the full ClickHouse schema-as-code toolkit to Python, at parity with the TypeScript original. What it covers, how the two implementations stay in sync, and what is different in Python.
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Time Travel for ObsessionDB: rewind your mistakes
A GDPR erasure request, a predicate that matched more than it should have, and 200 rows gone across three tables. Getting them back took an afternoon. That afternoon is why we built Time Travel.
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Sailing on the great ClickHouse integration ecosystem
ObsessionDB speaks standard ClickHouse, so the whole integration ecosystem works unchanged. Here is what we support with extra care, and what we are building ourselves.
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SharedMergeTree vs ReplicatedMergeTree: the business case
ReplicatedMergeTree makes you pay for your data twice and reshard by hand. Here's how SharedMergeTree changes the math, and when it's the right call.
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